Journal articles: 'Hyperspectral device'

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Sheybani, Ehsan, and Giti Javidi. "GUI Design Considerations for Hyperspectral Microwave Atmospheric Sounder." International Journal of Interdisciplinary Telecommunications and Networking 10, no. 2 (April 2018): 40–50. http://dx.doi.org/10.4018/ijitn.2018040104.

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This article contains information on how the Hyperspectral Microwave Atmospheric Sounder is the next step in technology for weather and climate missions. This technology can help improve both the vertical and horizontal resolutions of the atmosphere. Hyperspectral microwave describes an all-weather sounding that acts just like hyperspectral infrared sounders. In hyperspectral infrared sounders clouds decease the accuracy of the results, this is a big reason hyperspectral microwave are considered necessary. Hyperspectral measurements allow the user to determine the Earth's temperature with vertical resolution exceeding 1km (1093.61 yards). One of the objectives of Hyperspectral Microwave Atmospheric Sounder (HyMAS) is to develop a data system that will store and display the date received. PIC24 data stream will transfer 52 Data plus 16 H/K = 64 channels over Serial Peripheral Interface (SPI) at 100 Hz to scan head computer. Serial Peripheral is a synchronous protocol that allows the master device communication with a slave device. A Graphical User Interface (GUI) will be used to display the data received. A Graphical User Interface (GUI) is a type of user interface that allows users to interact with electronic devices using images rather than text commands. The author also develops documentation on how to operate the Explorer 16 development board. An Explorer 16 board can be used to interface with the emulator.

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Gutiérrez-Gutiérrez, José A., Arturo Pardo, Eusebio Real, José M. López-Higuera, and Olga M. Conde. "Custom Scanning Hyperspectral Imaging System for Biomedical Applications: Modeling, Benchmarking, and Specifications." Sensors 19, no. 7 (April 9, 2019): 1692. http://dx.doi.org/10.3390/s19071692.

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Prototyping hyperspectral imaging devices in current biomedical optics research requires taking into consideration various issues regarding optics, imaging, and instrumentation. In summary, an ideal imaging system should only be limited by exposure time, but there will be technological limitations (e.g., actuator delay and backlash, network delays, or embedded CPU speed) that should be considered, modeled, and optimized. This can be achieved by constructing a multiparametric model for the imaging system in question. The article describes a rotating-mirror scanning hyperspectral imaging device, its multiparametric model, as well as design and calibration protocols used to achieve its optimal performance. The main objective of the manuscript is to describe the device and review this imaging modality, while showcasing technical caveats, models and benchmarks, in an attempt to simplify and standardize specifications, as well as to incentivize prototyping similar future designs.

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Han, Yachao, Jing Li, Zihong Gao, Jie Chen, and Zhiyang Nie. "Design of Airborne Hyperspectral Automatic Filling Device for Liquid Nitrogen Refrigeration." Journal of Physics: Conference Series 2235, no. 1 (May 1, 2022): 012044. http://dx.doi.org/10.1088/1742-6596/2235/1/012044.

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Abstract To maintain sensitivity of the sensor, especially the infrared band sensor, liquid nitrogen is needed for cooling during the imaging process of airborne hyperspectrometer. However, traditional filling process requires a lot of manual intervention, which is not only time-consuming and labor-intensive, but also creates great potential safe hazard during aviation operations. In view of this, this paper designs an airborne hyperspectral automatic filling device for liquid nitrogen using time-delay electromagnetic switch, pressure sensing detector and electromechanical device, which achieves the purpose of automatic liquid nitrogen filling, increases operation efficiency of airborne hyperspectral equipment, reduces air stage operation steps, and guarantees personal safety of air operators, thus playing a good demonstration role in further standardizing and optimizing the technical process of air-borne hyperspectral remote sensing data.

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Zhu, Mengjun, Junli Qi, Wenjun Yi, Junyi Du, Meicheng Fu, Shuyue Zhu, Ju Liu, and Xiujian Li. "Design and Dispersion Calibration of Direct-Vision Push-Broom Compressive Double-Amici-Prism Hyperspectral Imager." Photonics 9, no. 10 (October 6, 2022): 732. http://dx.doi.org/10.3390/photonics9100732.

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The design and calibration of the dispersive device in a hyperspectral imager significantly affect the performance of hyperspectral imaging, especially the spectral accuracy. To achieve high-accuracy hyperspectral imaging over the visible band, firstly, the geometric and dispersive parameters of the double Amici prism (DAP) that serves as a dispersive device in the direct-vision push-broom compressive hyperspectral imager (PBCHI) are designed and optimized; secondly, a calibration method based on the numerical calculation of the DAP model is put forward, which can turn the conventional pixel-wise dispersive shift calibration by a monochromator into a group of numerical calculations; lastly, a PBCHI prototype is built to test the performances of the designed and calibrated DAP and the hyperspectral imager. The calibration experiments demonstrate that the mean squared error (MSE) of the dispersive pixel shifts calibrated by the proposed numerical method is 0.1774, which indicates the calibration result of the proposed method is consistent with the directly calibrated result. Furthermore, after this numerical calculation, the spectral signatures of the reconstructed cubes of the DAP-based PBCHI system show consistency with the ground truth. This work will benefit the design and calibration of the DAP-based hyperspectral imager.

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Burynin, Dmitriy A., and Aleksandr A. Smirnov. "Measurement Tools for Non-Invasive Monitoring of the Plants Growth Conditions by Using Hyperspectral Imaging Methods: a Review." Elektrotekhnologii i elektrooborudovanie v APK 2, no. 43 (2021): 54–61. http://dx.doi.org/10.22314/2658-4859-2021-68-2-54-61.

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Portable spectroradiometers and hyperspectral cameras are increasingly being used to quickly assess the physiological state of plants. The operation of these devices is based on the registration of reflection or reflection and transmission spectra. (Research purpose) The research purpose is in analyzing the technical means and methods of non-invasive monitoring of the plant state based on the registration of the reflection spectra of leaves. (Materials and methods) The article presents a review of the work on the application of hyperspectral imaging methods. Authors classified and analyzed materials on spectroscopic radiometers and hyperspectral cameras, and outlined the prospects for implementation. Authors applied the methods of a systematic approach to the research problem. (Results and discussion) Hyperspectral imaging methods serve as an effective means of monitoring plants. It is possible to determine the pigment composition of plants, lack of nutrition, and detect biotic stress through hyperspectral imaging. The article presents methods of application of portable spectroradiometers and hyperspectral cameras. With the help of these devices it is possible to carry out measurements with high spectral resolution. The difficulty of accurately detecting the content of pigments in the leaves lies in the mutual overlap of the areas of light absorption by them. The main drawback of spectroradiometers is that they measure only at one point on a single sheet. The article presents the difficulties encountered in interpreting the results obtained by the hyperspectral camera. The background reflectivity of the soil, the geometry of the vegetation cover, and the uneven lighting can make errors in the measurements. (Conclusions) The article presents the disadvantages of the hyperspectral imaging method when using only the reflection spectrum. In order to increase the accuracy of the determination of pigments and stresses of various origins, it is necessary to develop a portable device that combines the methods of recording reflection and fluorescence.

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Chen, Wen, Ming-Jie Sun, Wei-Jie Deng, Hai-Xiang Hu, Li-Jing Li, and Xue-Jun Zhang. "Hyperspectral imaging via a multiplexing digital micromirror device." Optics and Lasers in Engineering 151 (April 2022): 106889. http://dx.doi.org/10.1016/j.optlaseng.2021.106889.

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Xia, L., R. R. Zhang, L. P. Chen, Y. Wen, F. Zhao, and J. J. Hou. "Retrieving wheat Biomass by using a hyper-spectral device on UAV." Advances in Animal Biosciences 8, no. 2 (June 1, 2017): 833–36. http://dx.doi.org/10.1017/s2040470017001182.

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In this study, the biomass of winter wheat was estimated by using hyperspectral data obtained from a hyperspectral camera on an Unmanned Aerial Vehicle (UAV). Every two bands from the hyperspectral data were selected to calculate two kinds of vegetation indexes: the Normalized Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI). Linear models were established between winter wheat biomass and those indexes, and coefficient of determination R2 was used to draw the two-dimensional distribution of R2 values. The comparison between NDVI and RVI for pixel covered by soil and wheat showed that RVI is more efficient to mask the influence from soil than NDVI. For calculating the NDVI, optimal bands are located mainly around 820 nm and 725 nm to 750 nm. For assessing RVI, the wavelength range from 820 to 832 nm, 794 to 808 nm, 770 to 788 nm, 725 nm to 750 nm and 890 nm for RVI are most suitable. Those optimal bands can achieve a coefficient of determination R2 higher than 0.88 by using the linear regression model in the study.

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Stuart, Mary B., Andrew J. S. McGonigle, Matthew Davies, Matthew J. Hobbs, Nicholas A. Boone, Leigh R. Stanger, Chengxi Zhu, Tom D. Pering, and Jon R. Willmott. "Low-Cost Hyperspectral Imaging with A Smartphone." Journal of Imaging 7, no. 8 (August 5, 2021): 136. http://dx.doi.org/10.3390/jimaging7080136.

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Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings. In this article, we introduce a low-cost smartphone-based hyperspectral imaging system that can convert a standard smartphone camera into a visible wavelength hyperspectral sensor for ca. £100. To the best of our knowledge, this represents the first smartphone capable of hyperspectral data collection without the need for extensive post processing. The Hyperspectral Smartphone’s abilities are tested in a variety of environmental applications and its capabilities directly compared to the laboratory-based analogue from our previous research, as well as the wider existing literature. The Hyperspectral Smartphone is capable of accurate, laboratory- and field-based hyperspectral data collection, demonstrating the significant promise of both this device and smartphone-based hyperspectral imaging as a whole.

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Li, Haochen, Zhanfeng Li, Yu Huang, Guanyu Lin, Jiexiong Zeng, Hanshuang Li, Shurong Wang, and Wenyao Han. "Analysis and Correction of Polarization Response Calibration Error of Limb Atmosphere Ultraviolet Hyperspectral Detector." Sensors 22, no. 21 (November 6, 2022): 8542. http://dx.doi.org/10.3390/s22218542.

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A UV hyperspectral instrument was designed with a polarization measurement channel for real-time in-orbit polarization correction to reduce the influence of polarization on the detection accuracy of atmospheric radiation. One of the prerequisites for in-orbit polarization calibration is accurately calibrating the instrument’s polarization properties in the laboratory. This study first introduces the calibration method and measuring device of the polarization characteristics of the ultraviolet (UV) hyperspectral detector and conducts a polarization calibration test of the instrument. The two main error sources introduced by the calibration device were emphatically analyzed, and the correction method of the error sources was deduced theoretically. Finally, the polarization calibration results of the UV hyperspectral detector were corrected, and the uncertainty analysis of the corrected calibration results was about 1.4%, which provides effective ground polarization calibration data for the on-orbit polarization correction of the instrument.

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Balsi, Marco, Monica Moroni, Valter Chiarabini, and Giovanni Tanda. "High-Resolution Aerial Detection of Marine Plastic Litter by Hyperspectral Sensing." Remote Sensing 13, no. 8 (April 16, 2021): 1557. http://dx.doi.org/10.3390/rs13081557.

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An automatic custom-made procedure is developed to identify macroplastic debris loads in coastal and marine environment, through hyperspectral imaging from unmanned aerial vehicles (UAVs). Results obtained during a remote-sensing field campaign carried out in the seashore of Sassari (Sardinia, Italy) are presented. A push-broom-sensor-based spectral device, carried onboard a DJI Matrice 600 drone, was employed for the acquisition of spectral data in the range 900−1700 nm. The hyperspectral platform was realized by assembling commercial devices, whereas algorithms for mosaicking, post-flight georeferencing, and orthorectification of the acquired images were developed in-house. Generation of the hyperspectral cube was based on mosaicking visible-spectrum images acquired synchronously with the hyperspectral lines, by performing correlation-based registration and applying the same translations, rotations, and scale changes to the hyperspectral data. Plastics detection was based on statistically relevant feature selection and Linear Discriminant Analysis, trained on a manually labeled sample. The results obtained from the inspection of either the beach site or the sea water facing the beach clearly show the successful separate identification of polyethylene (PE) and polyethylene terephthalate (PET) objects through the post-processing data treatment based on the developed classifier algorithm. As a further implementation of the procedure described, direct real-time processing, by an embedded computer carried onboard the drone, permitted the immediate plastics identification (and visual inspection in synchronized images) during the UAV survey, as documented by short video sequences provided in this research paper.

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Rubins, Uldis, Zbignevs Marcinkevics, Janis Cimurs, Inga Saknite, Edgars Kviesis-Kipge, and Andris Grabovskis. "Multimodal Device for Real-Time Monitoring of Skin Oxygen Saturation and Microcirculation Function." Biosensors 9, no. 3 (August 2, 2019): 97. http://dx.doi.org/10.3390/bios9030097.

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The present study introduces a recently developed compact hybrid device for real-time monitoring of skin oxygen saturation and temperature distribution. The prototype involves a snapshot hyperspectral camera, multi-wavelength illuminator, thermal camera, and built-in computer with custom-developed software. To validate this device in-vivo we performed upper arm vascular occlusion on eight healthy volunteers. Palm skin oxygen saturation maps were analyzed in real-time using k-means segmentation algorithm and two-layer optical diffuse model. The prototype system demonstrated a satisfying performance of skin hyperspectral measurements in the spectral range of 507–625 nm. The results confirmed the reliability of the proposed system for in-vivo assessment of skin hemoglobin saturation with oxygen and microcirculation.

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Zhao, Jiangsan, Dmitry Kechasov, Boris Rewald, Gernot Bodner, Michel Verheul, Nicholas Clarke, and Jihong Liu Clarke. "Deep Learning in Hyperspectral Image Reconstruction from Single RGB images—A Case Study on Tomato Quality Parameters." Remote Sensing 12, no. 19 (October 7, 2020): 3258. http://dx.doi.org/10.3390/rs12193258.

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Hyperspectral imaging has many applications. However, the high device costs and low hyperspectral image resolution are major obstacles limiting its wider application in agriculture and other fields. Hyperspectral image reconstruction from a single RGB image fully addresses these two problems. The robust HSCNN-R model with mean relative absolute error loss function and evaluated by the Mean Relative Absolute Error metric was selected through permutation tests from models with combinations of loss functions and evaluation metrics, using tomato as a case study. Hyperspectral images were subsequently reconstructed from single tomato RGB images taken by a smartphone camera. The reconstructed images were used to predict tomato quality properties such as the ratio of soluble solid content to total titratable acidity and normalized anthocyanin index. Both predicted parameters showed very good agreement with corresponding “ground truth” values and high significance in an F test. This study showed the suitability of hyperspectral image reconstruction from single RGB images for fruit quality control purposes, underpinning the potential of the technology—recovering hyperspectral properties in high resolution—for real-world, real time monitoring applications in agriculture any beyond.

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AbuLeil, Marwan J., Doron Pasha, Isaac August, Evgeny P. Pozhidaev, Vadim A. Barbashov, Timofey P. Tkachenko, Artemy V. Kuznetsov, and Ibrahim Abdulhalim. "Helical Nanostructures of Ferroelectric Liquid Crystals as Fast Phase Retarders for Spectral Information Extraction Devices: A Comparison with the Nematic Liquid Crystal Phase Retarders." Materials 14, no. 19 (September 24, 2021): 5540. http://dx.doi.org/10.3390/ma14195540.

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Extraction of spectral information using liquid crystal (LC) retarders has recently become a topic of great interest because of its importance for creating hyper- and multispectral images in a compact and inexpensive way. However, this method of hyperspectral imaging requires thick LC-layer retarders (50 µm–100 µm and above) to obtain spectral modulation signals for reliable signal reconstruction. This makes the device extremely slow in the case of nematic LCs (NLCs), since the response time of NLCs increases proportionally to the square of the LC-layer thickness, which excludes fast dynamic processes monitoring. In this paper, we explore two approaches for solving the speed problem: the first is based on the use of faster nanospiral ferroelectric liquid crystals as an alternative to NLCs, and the second is based on using a passive multiband filter and focuses on multispectral extraction rather than hyperspectral. A detailed comparative study of nematic and ferroelectric devices is presented. The study is carried out using a 9-spectral bands passive spectral filter, covering the visible and near-infrared ranges. We propose the concept of multispectral rather than hyperspectral extraction, where a small number of wavelengths are sufficient for specific applications.

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Müller-Rowold, M., and R. Reulke. "HYPERSPECTRAL PANORAMIC IMAGING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 323–28. http://dx.doi.org/10.5194/isprs-archives-xlii-1-323-2018.

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Abstract. Hyperspectral instruments are designed for the characterisation of planetary surfaces, oceans and the atmosphere. At the moment there are a number of aircraft systems and planned space missions. Examples for this are the hyperspectral missions for Earth remote sensing (EnMAP) and also for deep space and planetary missions (Mercury mission Bepi Colombo).There are basically two options for a hyperspectral system: Snapshot systems and scanning systems. This paper investigates a scanning hyperspectral push-broom systems. In most systems the input aperture is a long slit whose image is dispersed across a 2-D detector array, so that all points along a line in the scene are sampled simultaneously. To fill out the spatial dimension orthogonal to the slit, the scene is scanned across the entrance aperture. An ideal low cost hyperspectral scanning device analogue to push broom scanner is a 2D-detector with variable spectral filters, each filter being arranged perpendicular to the direction of flight.The biggest challenge is the mapping of the images of the individual spectral channels to each other (co-registration). The solution of the problem is the prerequisite for the use of this kind of hyperspectral cameras e.g. on board of an aircraft. Therefore, an investigation should focus on the procedure of data acquisition, correction and registration. In addition, an example showing the advantages of a possible application is explained.

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Yang, Shuowen, Xiang Yan, Hanlin Qin, Qingjie Zeng, Yi Liang, Henry Arguello, and Xin Yuan. "Mid-Infrared Compressive Hyperspectral Imaging." Remote Sensing 13, no. 4 (February 17, 2021): 741. http://dx.doi.org/10.3390/rs13040741.

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Hyperspectral imaging (HSI) has been widely investigated within the context of computational imaging due to the high dimensional challenges for direct imaging. However, existing computational HSI approaches are mostly designed for the visible to near-infrared waveband, whereas less attention has been paid to the mid-infrared spectral range. In this paper, we report a novel mid-infrared compressive HSI system to extend the application domain of mid-infrared digital micromirror device (MIR-DMD). In our system, a modified MIR-DMD is combined with an off-the-shelf infrared spectroradiometer to capture the spatial modulated and compressed measurements at different spectral channels. Following this, a dual-stage image reconstruction method is developed to recover infrared hyperspectral images from these measurements. In addition, a measurement without any coding is used as the side information to aid the reconstruction to enhance the reconstruction quality of the infrared hyperspectral images. A proof-of-concept setup is built to capture the mid-infrared hyperspectral data of 64 pixels × 48 pixels × 100 spectral channels ranging from 3 to 5 μm, with the acquisition time within one minute. To the best of our knowledge, this is the first mid-infrared compressive hyperspectral imaging approach that could offer a less expensive alternative to conventional mid-infrared hyperspectral imaging systems.

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Christensen, Kenneth A., and Michael D. Morris. "Hyperspectral Raman Microscopic Imaging Using Powell Lens Line Illumination." Applied Spectroscopy 52, no. 9 (September 1998): 1145–47. http://dx.doi.org/10.1366/0003702981945138.

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The design and characterization of a simple and robust hyperspectral Raman line imaging illumination system with the use of a Powell lens is reported. The generated line uniformity is ±5% of total intensity with a laser power density of 12 mW/μm2 at the sample with a 50×/0.8 NA (numerical aperture) objective. Similar results were obtained by using other objectives. Linewidths remained near the diffraction limit for all objectives tested. Significant decreases in image acquisition time are also reported with the use of a Powell lens-illuminated hyperspectral Raman line imaging microscope equipped with an intensified charge-coupled device (CCD) detector. Hyperspectral images (100 × 350 pixels) were acquired in as little as 8 with a corresponding signal-to-noise ratio of 24.

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García-Sánchez, Ignacio, Óscar Fresnedo, José P. González-Coma, and Luis Castedo. "Coded Aperture Hyperspectral Image Reconstruction." Sensors 21, no. 19 (September 30, 2021): 6551. http://dx.doi.org/10.3390/s21196551.

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In this work, we study and analyze the reconstruction of hyperspectral images that are sampled with a CASSI device. The sensing procedure was modeled with the help of the CS theory, which enabled efficient mechanisms for the reconstruction of the hyperspectral images from their compressive measurements. In particular, we considered and compared four different type of estimation algorithms: OMP, GPSR, LASSO, and IST. Furthermore, the large dimensions of hyperspectral images required the implementation of a practical block CASSI model to reconstruct the images with an acceptable delay and affordable computational cost. In order to consider the particularities of the block model and the dispersive effects in the CASSI-like sensing procedure, the problem was reformulated, as well as the construction of the variables involved. For this practical CASSI setup, we evaluated the performance of the overall system by considering the aforementioned algorithms and the different factors that impacted the reconstruction procedure. Finally, the obtained results were analyzed and discussed from a practical perspective.

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Grafton, Miles, Therese Kaul, Alan Palmer, Peter Bishop, and Michael White. "Technical Note: Regression Analysis of Proximal Hyperspectral Data to Predict Soil pH and Olsen P." Agriculture 9, no. 3 (March 15, 2019): 55. http://dx.doi.org/10.3390/agriculture9030055.

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This work examines two large data sets to demonstrate that hyperspectral proximal devices may be able to measure soil nutrient. One data set has 3189 soil samples from four hill country pastoral farms and the second data set has 883 soil samples taken from a stratified nested grid survey. These were regressed with spectra from a proximal hyperspectral device measured on the same samples. This aim was to obtain wavelengths, which may be proxy indicators for measurements of soil nutrients. Olsen P and pH were regressed with 2150 wave bands between 350 nm and 2500 nm to find wavebands, which were significant indicators. The 100 most significant wavebands for each proxy were used to regress both data sets. The regression equations from the smaller data set were used to predict the values of pH and Olsen P to validate the larger data set. The predictions from the equations from the smaller data set were as good as the regression analyses from the large data set when applied to it. This may mean that, in the future, hyperspectral analysis may be a proxy to soil chemical analysis; or increase the intensity of soil testing by finding markers of fertility cheaply in the field.

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Rodriguez Gonzalez, S. A., M. Shimoni, J. Plaza, A. Plaza, I. Renhorn, and J. Ahlberg. "THE DETECTION OF CONCEALED TARGETS IN WOODLAND AREAS USING HYPERSPECTRAL IMAGERY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-3/W2-2020 (October 29, 2020): 29–33. http://dx.doi.org/10.5194/isprs-annals-iv-3-w2-2020-29-2020.

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Abstract. Recent innovations in microelectronic and semiconductor technology enable the creation of smaller and economical hyperspectral cameras. A filter combined camera with advanced scanning module is a game changer that extends the application of miniature hyperspectral imagers to many security domains. This work presents the assessment of the imager L4 from Glana Sensors to detect concealed targets in woodland areas. Several target detection methods were applied to a collection of scenes acquired under various illumination conditions and containing different materials. The potential and limitations of this new imaging device in the context of difficult target detection in forested area are evaluated and discussed.

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Botero-Valencia, J. S., and J. Valencia-Aguirre. "Portable low-cost IoT hyperspectral acquisition device for indoor/outdoor applications." HardwareX 10 (October 2021): e00216. http://dx.doi.org/10.1016/j.ohx.2021.e00216.

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Moroni, Monica. "Vegetation monitoring via a novel push-broom-sensor-based hyperspectral device." Journal of Physics: Conference Series 1249 (May 2019): 012007. http://dx.doi.org/10.1088/1742-6596/1249/1/012007.

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Moroni, Monica, Carlo Dacquino, and Antonio Cenedese. "Mosaicing of Hyperspectral Images: The Application of a Spectrograph Imaging Device." Sensors 12, no. 8 (July 30, 2012): 10228–47. http://dx.doi.org/10.3390/s120810228.

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OLD, TOM, ROY HENDRICK, DAVE HIGHAM, NELSON PALMER, and CHRIS MANNING. "THE HYPERTEMPORAL-HYPERSPECTRAL ANALYSIS TEST STATION — HYHATS." International Journal of High Speed Electronics and Systems 18, no. 03 (September 2008): 557–67. http://dx.doi.org/10.1142/s0129156408005564.

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ATK Mission Research will describe a very high speed FT-IR spectrometer that collects 1000 interferograms per second at a 4 cm−1 resolution in the 2-5 micrometer bandpass. The field of view of the instrument is about 1 degree. Collection of photons is on a single cryo-cooled InSb detector with output data streamed to a RAID device for later processing. The system uses a rotating lightweight air bearing mirror to achieve rapid variation of optical path length. Tilt compensation optics include a corner cube in a variation of the Michelson arrangement. The instrument is a one-man portable, tripod-mounted unit with off-unit data collection electronics. The system is designed for field deployment where measurements of energetic events are desired. Applications are commercial and military.

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Hufziger, Kyle T., Sergei V. Bykov, and Sanford A. Asher. "Raman Hyperspectral Imaging Spectrometer Utilizing Crystalline Colloidal Array Photonic Crystal Diffraction." Applied Spectroscopy 68, no. 11 (November 2014): 1219–23. http://dx.doi.org/10.1366/14-07599.

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We fabricated a novel hyperspectral Raman imaging spectrometer that, for the first time, uses a photonic-crystal wavelength-selecting device to select a narrow-wavelength spectral interval. The photonic crystal consists of an array of highly charged, monodisperse polystyrene particles that self-assemble into a face-centered cubic crystal. The photonic crystal Bragg-diffracts a narrow spectral interval that can be tuned by altering the incident angle of collimated Raman scattered light. Our prototype spectrometer diffracts a ∼200 cm−1 interval of the 488 nm excited visible Raman spectrum of Teflon. This enabled us to select a close-lying triplet of Teflon Raman bands. We imaged the Teflon surface by focusing this narrow region onto a charge-coupled device to create a Raman image of the sample surface that spectrally details the chemical composition.

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Kern, Christian, Uwe Speck, Rainer Riesenberg, Carina Reble, Georg Khazaka, Michael Zieger, Martin Kaatz, Marco De Gregorio, and Frank Fischer. "Mobile snapshot hyperspectral imaging device for skin evaluation using diffractive optical elements." Skin Research and Technology 27, no. 4 (January 28, 2021): 589–98. http://dx.doi.org/10.1111/srt.12991.

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Bensaeed, O. M., A. M. Shariff, A. B. Mahmud, H. Shafri, and M. Alfatni. "Oil palm fruit grading using a hyperspectral device and machine learning algorithm." IOP Conference Series: Earth and Environmental Science 20 (June 23, 2014): 012017. http://dx.doi.org/10.1088/1755-1315/20/1/012017.

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Parker, Mary F., Gregory C. Mooradian, James P. Karins, Dennis M. O'connor, Bradford A. Speer, Pamela D. Owensby, and Arleen Velasco. "Hyperspectral Diagnostic Imaging of the Cervix: Report on a New Investigational Device." Journal of Lower Genital Tract Disease 4, no. 3 (July 2000): 119–24. http://dx.doi.org/10.1046/j.1526-0976.2000.43001.x.

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Parker, Mary F., Gregory C. Mooradian, James P. Karins, Dennis M. OʼConnor, Bradford A. Speer, Pamela D. Owensby, and Arleen Velasco. "Hyperspectral Diagnostic Imaging of the Cervix: Report on a New Investigational Device." Journal of Lower Genital Tract Disease 4, no. 3 (July 2000): 119–24. http://dx.doi.org/10.1097/00128360-200004030-00001.

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Fernández-Fabeiro, Jorge, Álvaro Ordóñez, Arturo Gonzalez-Escribano, and Dora B. Heras. "A multi-device version of the HYFMGPU algorithm for hyperspectral scenes registration." Journal of Supercomputing 75, no. 3 (November 17, 2018): 1551–64. http://dx.doi.org/10.1007/s11227-018-2689-7.

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Janse, Pooja Vinod, and Ratnadeep R. Deshmukh. "Crop Discrimination using Non-Imaging Hyperspectral Data." International Journal of Engineering and Advanced Technology 10, no. 5 (June 30, 2021): 269–73. http://dx.doi.org/10.35940/ijeat.e2802.0610521.

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Crop type discrimination is still very challenging task for researchers using non-imaging hyperspectral data. It is because of spectral reflectance similarity between crops. In this research work we have discriminated between four crops wheat, jowar, bajara and maize. We have tried to overcome the problems which have been faced my researchers. Initially by visual analysis we have selected 22 reflectance band which shows the absorption property of particular molecules and classification techniqueis applied, but it has given us very poor result of classification. We observed only 24% classification accuracy. So we considered nine vegetation indices along with spectral bands and achieved better classification accuracy. ASD FieldSpec 4 Spectroradiometer device is used for capturing spectral reflectance data. We calculated nine different vegetation indices and some selective reflectance bands are used for crop classification. We have used Support Vector Machine (SVM) for classification.

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Kalenkov, Sergey, Pavel Skvortsov, Aleksandr Tarasenko, Dmitry Sharov, and Alexander Shtanko. "The Phase Modulating Micro-Mover Based on the MHD/MET System in the Reference Arm of the Scanning Interferometer." Micromachines 13, no. 11 (November 14, 2022): 1972. http://dx.doi.org/10.3390/mi13111972.

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The possibility of using a magnetohydrodynamic drive (MHD) and amolecular-electronic transfer (MET) sensor as a single device for moving and precise control of the displacement of a movable mirror, which is part of a scanning interferometer, is considered. A prototype of such a device was developed and experimentally studied. A digital holographic image of the test object was obtained using an optical scheme containing a scanning interferometer with an MHD drive. The important advantages of the MHD drive in the problems of digital recording of hyperspectral holographic images have been discussed.

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Kurz, T. H., and S. J. Buckley. "A REVIEW OF HYPERSPECTRAL IMAGING IN CLOSE RANGE APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 865–70. http://dx.doi.org/10.5194/isprs-archives-xli-b5-865-2016.

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Hyperspectral imaging is an established method for material mapping, which has been conventionally applied from airborne and spaceborne platforms for a range of applications, including mineral and vegetation mapping, change detection and environmental studies. The main advantage of lightweight hyperspectral imagers lies in the flexibility to deploy them from various platforms (terrestrial imaging and from unmanned aerial vehicles; UAVs), as well as the high spectral resolution to cover an expanding wavelength range. In addition, spatial resolution allows object sampling distances from micrometres to tens of centimetres – complementary to conventional nadir-looking systems. When this new type of imaging device was initially released, few instruments were available and the applicability and potential of the method was restricted. Today, a wider range of instruments, with a range of specifications, is available, with significant improvements over the first generation of technology. In this contribution, the state-of-the-art of hyperspectral imaging will be reviewed from a close range measurement perspective, highlighting how the method supplements geometric modelling techniques. An overview of the processing workflow, adjusted to the more complex close range imaging scenario will be given. This includes the integration with 3D laser scanning and photogrammetric models to provide a geometric framework and real world coordinate system for the hyperspectral imagery.

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Kurz, T. H., and S. J. Buckley. "A REVIEW OF HYPERSPECTRAL IMAGING IN CLOSE RANGE APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 865–70. http://dx.doi.org/10.5194/isprsarchives-xli-b5-865-2016.

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Hyperspectral imaging is an established method for material mapping, which has been conventionally applied from airborne and spaceborne platforms for a range of applications, including mineral and vegetation mapping, change detection and environmental studies. The main advantage of lightweight hyperspectral imagers lies in the flexibility to deploy them from various platforms (terrestrial imaging and from unmanned aerial vehicles; UAVs), as well as the high spectral resolution to cover an expanding wavelength range. In addition, spatial resolution allows object sampling distances from micrometres to tens of centimetres – complementary to conventional nadir-looking systems. When this new type of imaging device was initially released, few instruments were available and the applicability and potential of the method was restricted. Today, a wider range of instruments, with a range of specifications, is available, with significant improvements over the first generation of technology. In this contribution, the state-of-the-art of hyperspectral imaging will be reviewed from a close range measurement perspective, highlighting how the method supplements geometric modelling techniques. An overview of the processing workflow, adjusted to the more complex close range imaging scenario will be given. This includes the integration with 3D laser scanning and photogrammetric models to provide a geometric framework and real world coordinate system for the hyperspectral imagery.

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Kumar, B., and O. Dikshit. "PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 263–67. http://dx.doi.org/10.5194/isprs-archives-xli-b7-263-2016.

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Extended morphological profile (EMP) is a good technique for extracting spectral-spatial information from the images but large size of hyperspectral images is an important concern for creating EMPs. However, with the availability of modern multi-core processors and commodity parallel processing systems like graphics processing units (GPUs) at desktop level, parallel computing provides a viable option to significantly accelerate execution of such computations. In this paper, parallel implementation of an EMP based spectralspatial classification method for hyperspectral imagery is presented. The parallel implementation is done both on multi-core CPU and GPU. The impact of parallelization on speed up and classification accuracy is analyzed. For GPU, the implementation is done in compute unified device architecture (CUDA) C. The experiments are carried out on two well-known hyperspectral images. It is observed from the experimental results that GPU implementation provides a speed up of about 7 times, while parallel implementation on multi-core CPU resulted in speed up of about 3 times. It is also observed that parallel implementation has no adverse impact on the classification accuracy.

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Kumar, B., and O. Dikshit. "PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 263–67. http://dx.doi.org/10.5194/isprsarchives-xli-b7-263-2016.

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Extended morphological profile (EMP) is a good technique for extracting spectral-spatial information from the images but large size of hyperspectral images is an important concern for creating EMPs. However, with the availability of modern multi-core processors and commodity parallel processing systems like graphics processing units (GPUs) at desktop level, parallel computing provides a viable option to significantly accelerate execution of such computations. In this paper, parallel implementation of an EMP based spectralspatial classification method for hyperspectral imagery is presented. The parallel implementation is done both on multi-core CPU and GPU. The impact of parallelization on speed up and classification accuracy is analyzed. For GPU, the implementation is done in compute unified device architecture (CUDA) C. The experiments are carried out on two well-known hyperspectral images. It is observed from the experimental results that GPU implementation provides a speed up of about 7 times, while parallel implementation on multi-core CPU resulted in speed up of about 3 times. It is also observed that parallel implementation has no adverse impact on the classification accuracy.

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Lawrence, Kurt C., William R. Windham, Bosoon Park, and R. Jeff Buhr. "A Hyperspectral Imaging System for Identification of Faecal and Ingesta Contamination on Poultry Carcasses." Journal of Near Infrared Spectroscopy 11, no. 4 (August 2003): 269–81. http://dx.doi.org/10.1255/jnirs.373.

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A method and system for detecting faecal and ingesta contaminants on poultry carcasses were demonstrated. A visible/near infrared monochromator, which measured reflectance and principal component analysis were first used to identify key wavelengths from faecal and uncontaminated skin samples. Measurements at 434, 517, 565 and 628 nm were identified and used for evaluation with a hyperspectral imaging system. The hyperspectral imaging system, which was a line-scan (pushbroom) imaging system, consisted of a hyperspectral camera, fibre-optic line lights, a computer and frame grabber. The hyperspectral imaging camera consisted of a high-resolution charge coupled device (CCD) camera, a prism-grating-prism spectrograph, focusing lens, associated optical hardware and a motorised controller. The imaging system operated from about 400 to 900 nm. The hyperspectral imaging system was calibrated for wavelength, distance and percent reflectance and analysis of calibrated images at the key wavelengths indicated that single-wavelength images were inadequate for detecting contaminants. However, a ratio of images at two of the key wavelengths was able to identify faecal and ingesta contaminants. Specifically, the ratio of the 565-nm image divided by the 517-nm image produced good results. The ratio image was then further processed by masking the background and either enhancing the image contrast with a non-linear histogram stretch, or applying a faecal threshold. The results indicated that, for the limited sample population, more than 96% of the contaminants were detected. Thus, the hyperspectral imaging system was able to detect contaminants and showed feasibility, but was too slow for real-time on-line processing. Therefore, a multivariate system operating at 565 and 517 nm, which should be capable of operating at real-time on-line processing speed, should be used. Further research with such a system needs to be conducted.

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La Salvia, Marco, Emanuele Torti, Raquel Leon, Himar Fabelo, Samuel Ortega, Francisco Balea-Fernandez, Beatriz Martinez-Vega, et al. "Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images." Sensors 22, no. 19 (September 21, 2022): 7139. http://dx.doi.org/10.3390/s22197139.

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Cancer originates from the uncontrolled growth of healthy cells into a mass. Chromophores, such as hemoglobin and melanin, characterize skin spectral properties, allowing the classification of lesions into different etiologies. Hyperspectral imaging systems gather skin-reflected and transmitted light into several wavelength ranges of the electromagnetic spectrum, enabling potential skin-lesion differentiation through machine learning algorithms. Challenged by data availability and tiny inter and intra-tumoral variability, here we introduce a pipeline based on deep neural networks to diagnose hyperspectral skin cancer images, targeting a handheld device equipped with a low-power graphical processing unit for routine clinical testing. Enhanced by data augmentation, transfer learning, and hyperparameter tuning, the proposed architectures aim to meet and improve the well-known dermatologist-level detection performances concerning both benign-malignant and multiclass classification tasks, being able to diagnose hyperspectral data considering real-time constraints. Experiments show 87% sensitivity and 88% specificity for benign-malignant classification and specificity above 80% for the multiclass scenario. AUC measurements suggest classification performance improvement above 90% with adequate thresholding. Concerning binary segmentation, we measured skin DICE and IOU higher than 90%. We estimated 1.21 s, at most, consuming 5 Watts to segment the epidermal lesions with the U-Net++ architecture, meeting the imposed time limit. Hence, we can diagnose hyperspectral epidermal data assuming real-time constraints.

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Bednarkiewicz, Artur, Mounir Bouhifd, and Maurice P. Whelan. "Digital micromirror device as a spatial illuminator for fluorescence lifetime and hyperspectral imaging." Applied Optics 47, no. 9 (March 17, 2008): 1193. http://dx.doi.org/10.1364/ao.47.001193.

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Haseman, Micah S., Daram N. Ramdin, Wenshen Li, Kazuki Nomoto, Debdeep Jena, Huili Grace Xing, and Leonard J. Brillson. "Electric field induced migration of native point defects in Ga₂O₃ devices." Journal of Applied Physics 133, no. 3 (January 21, 2023): 035701. http://dx.doi.org/10.1063/5.0124543.

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While the properties of β-Ga2O3 continue to be extensively studied for high-power applications, the effects of strong electric fields on the Ga2O3 microstructure and, in particular, the impact of electrically active native point defects have been relatively unexplored. We used cathodoluminescence point spectra and hyperspectral imaging to explore possible nanoscale movements of electrically charged defects in Ga2O3 vertical trench power diodes and observed the spatial rearrangement of optically active defects under strong reverse bias. These observations suggest an unequal migration of donor-related defects in β-Ga2O3 due to the applied electric field. The atomic rearrangement and possible local doping changes under extreme electric fields in β-Ga2O3 demonstrate the potential impact of nanoscale device geometry in other high-power semiconductor devices.

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Mohammed Mejbel Salih, Khalid I. Hassoon, Khalid I. Hassoon, Mohammed A Almajeed A Alabas, and Samir Saify. "Produce feldspar mineral map using Spectral Angle Mapper (SAM) technique by hyperspectral image analysis." Global Journal of Engineering and Technology Advances 12, no. 2 (August 30, 2022): 057–64. http://dx.doi.org/10.30574/gjeta.2022.12.2.0138.

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The analysis of the hyperspectral image is an important method used in mineral detection. A map of the Feldspar mineral will produced for the study area, which lies to the west of the holy province of Karbala and limited in image that download from USGS website (type hyperspectral image from EO-1 satellite) , by using Spectral Angle Mapper (SAM) technique in the Erdas software, which is based on calculating the spectral reflection curve of any point on the image and the spectral reflection curve of feldspar mineral that is available in the spectral library of the software. For the purpose of verifying the results of the image analysis, ground truth ( field work ) was used by collecting 12 soil samples and finding the spectral curve for each sample by the spectral analysis device (ASD) and the result show the match between image and ground, where produced Feldspar mineral map.

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Kuznecov, A. Yu, A. A. Sadikova, V. I. Gornyj, and I. Sh Latypov. "DEVELOPMENT OF A METHOD FOR SYNTHESIZING AN APERTURE DIAPHRAGM IN HYPERSPECTRAL REMOTE SENSING SYSTEMS FOR EARTH." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 191 (May 2020): 23–30. http://dx.doi.org/10.14489/vkit.2020.05.pp.023-030.

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The aim of the work is to research and develop methods for synthesizing aperture in hyperspectral systems for remote sensing of the Earth to reduce weight and size characteristics by applying methods of program-algorithmic processing of the input signal and implementing the synthesized aperture. A method of neural networks for deconvolution on the construction of a radial basis network is developed. A method has been developed to increase the synthesis of apertures in hyperspectral systems for remote sensing of the Earth. A method for increasing the spatial resolution of images obtained by optical systems for remote sensing of the Earth is described. A method for radiometric calibration of output data has been developed, which allows universalizing the analysis of spectral characteristics. In the process, to achieve the goals were used: methods of spectral optics, mathematical analysis and statistics, methods of processing images and signals. The project results contribute to the reduction of overall weight and cost characteristics and the possibility of synthesizing the aperture at the exit of the polychromator, which will avoid the use of expensive camera lenses in hyperspectral systems of remote sensing of the Earth. The developed methods for synthesizing aperture in hyperspectral systems of remote sensing of the Earth differ from the existing ones in that the receiving device for the video signal does not contain structural changes, and they contain the function of the algorithmic apparatus, which includes the analysis of the functions of the scattering point, the deconvolution of the recorded signal is performed by the method of neural networks after the stage learning.

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Kuznecov, A. Yu, A. A. Sadikova, V. I. Gornyj, and I. Sh Latypov. "DEVELOPMENT OF A METHOD FOR SYNTHESIZING AN APERTURE DIAPHRAGM IN HYPERSPECTRAL REMOTE SENSING SYSTEMS FOR EARTH." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 191 (May 2020): 23–30. http://dx.doi.org/10.14489/vkit.2020.05.pp.023-030.

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The aim of the work is to research and develop methods for synthesizing aperture in hyperspectral systems for remote sensing of the Earth to reduce weight and size characteristics by applying methods of program-algorithmic processing of the input signal and implementing the synthesized aperture. A method of neural networks for deconvolution on the construction of a radial basis network is developed. A method has been developed to increase the synthesis of apertures in hyperspectral systems for remote sensing of the Earth. A method for increasing the spatial resolution of images obtained by optical systems for remote sensing of the Earth is described. A method for radiometric calibration of output data has been developed, which allows universalizing the analysis of spectral characteristics. In the process, to achieve the goals were used: methods of spectral optics, mathematical analysis and statistics, methods of processing images and signals. The project results contribute to the reduction of overall weight and cost characteristics and the possibility of synthesizing the aperture at the exit of the polychromator, which will avoid the use of expensive camera lenses in hyperspectral systems of remote sensing of the Earth. The developed methods for synthesizing aperture in hyperspectral systems of remote sensing of the Earth differ from the existing ones in that the receiving device for the video signal does not contain structural changes, and they contain the function of the algorithmic apparatus, which includes the analysis of the functions of the scattering point, the deconvolution of the recorded signal is performed by the method of neural networks after the stage learning.

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Ortiz, Alberto, Alfonso Rodríguez, Raúl Guerra, Sebastián López, Andrés Otero, Roberto Sarmiento, and Eduardo de la Torre. "A Runtime-Scalable and Hardware-Accelerated Approach to On-Board Linear Unmixing of Hyperspectral Images." Remote Sensing 10, no. 11 (November 12, 2018): 1790. http://dx.doi.org/10.3390/rs10111790.

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Space missions are facing disruptive innovation since the appearance of small, lightweight, and low-cost satellites (e.g., CubeSats). The use of commercial devices and their limitations in cost usually entail a decrease in available on-board computing power. To face this change, the on-board processing paradigm is advancing towards the clustering of satellites, and moving to distributed and collaborative schemes in order to maintain acceptable performance levels in complex applications such as hyperspectral image processing. In this scenario, hybrid hardware/software and reconfigurable computing have appeared as key enabling technologies, even though they increase complexity in both design and run time. In this paper, the ARTICo3 framework, which abstracts and eases the design and run-time management of hardware-accelerated systems, has been used to deploy a networked implementation of the Fast UNmixing (FUN) algorithm, which performs linear unmixing of hyperspectral images in a small cluster of reconfigurable computing devices that emulates a distributed on-board processing scenario. Algorithmic modifications have been proposed to enable data-level parallelism and foster scalability in two ways: on the one hand, in the number of accelerators per reconfigurable device; on the other hand, in the number of network nodes. Experimental results motivate the use of ARTICo3-enabled systems for on-board processing in applications traditionally addressed by high-performance on-Earth computation. Results also show that the proposed implementation may be better, for certain configurations, than an equivalent software-based solution in both performance and energy efficiency, achieving great scalability that is only limited by communication bandwidth.

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Liu, Kan. "Development and characterization of an electrically tunable liquid-crystal Fabry–Pérot hyperspectral imaging device." Journal of Applied Remote Sensing 5, no. 1 (January 1, 2011): 053539. http://dx.doi.org/10.1117/1.3613946.

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Díaz, María, Raúl Guerra, Pablo Horstrand, Sebastián López, José F. López, and Roberto Sarmiento. "Towards the Concurrent Execution of Multiple Hyperspectral Imaging Applications by Means of Computationally Simple Operations." Remote Sensing 12, no. 8 (April 23, 2020): 1343. http://dx.doi.org/10.3390/rs12081343.

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The on-board processing of remotely sensed hyperspectral images is gaining momentum for applications that demand a quick response as an alternative to conventional approaches where the acquired images are off-line processed once they have been transmitted to the ground segment. However, the adoption of this on-board processing strategy brings further challenges for the remote-sensing research community due to the high data rate of the new-generation hyperspectral sensors and the limited amount of available on-board computational resources. This situation becomes even more stringent when different time-sensitive applications coexist, since different tasks must be sequentially processed onto the same computing device. In this work, we have dealt with this issue through the definition of a set of core operations that extracts spectral features useful for many hyperspectral analysis techniques, such as unmixing, compression and target/anomaly detection. Accordingly, it permits the concurrent execution of such techniques reusing operations and thereby requiring much less computational resources than if they were separately executed. In particular, in this manuscript we have verified the goodness of our proposal for the concurrent execution of both the lossy compression and anomaly detection processes in hyperspectral images. To evaluate the performance, several images taken by an unmanned aerial vehicle have been used. The obtained results clearly support the benefits of our proposal not only in terms of accuracy but also in terms of computational burden, achieving a reduction of roughly 50% fewer operations to be executed. Future research lines are focused on extending this methodology to other fields such as target detection, classification and dimensionality reduction.

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Eckstein, B. A., and R. Arlen. "IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-3-2021 (August 10, 2021): 43–47. http://dx.doi.org/10.5194/isprs-archives-xliv-m-3-2021-43-2021.

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Abstract. Hyperspectral imaging (HSI) systems have been invaluable tools for over two decades, but there are few authoritative standards that characterize these systems or define the data and metadata they produce. Manufacturers calibrate instruments and report specifications differently and, in some cases, the same term has different definitions among HSI programs.To address these inconsistencies, the Institute of Electrical and Electronics Engineers (IEEE) Geoscience and Remote Sensing Society (GRSS) sponsored Project 4001 (P4001), a Hyperspectral Working Group under the auspices of IEEE’s Standards Association. Since its inception in 2018, the IEEE P4001 Working Group has been working to specify testing and characterization methods for HSI device manufacturers, as well as recommend data structures and terminology for HSI products.P4001 focuses on the ultraviolet through the shortwave infrared spectral range (~250 to 2500 nm) and prioritizes camera technologies that are in widespread use. Many aspects of the standard will have wider applicability with respect to camera technology and wavelength range, and updates will expand the range of technologies and topics covered. Industrial, laboratory and geoscience use cases are informing the development of the standard. Utilization of the P4001 HSI standard will lead to HSI systems with consistent characterization and calibration criteria, as well as interoperable data products with a common lexicon for data and metadata.

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Tian, Shuyao, Zhen Zhao, Tao Hou, and Liancheng Zhang. "Hyperspectral Acquisition Technology Based on Compressed Sampling in Spatial Domain." International Journal of Circuits, Systems and Signal Processing 16 (January 12, 2022): 321–29. http://dx.doi.org/10.46300/9106.2022.16.39.

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In the hyperspectral imaging device, the sensor detects the reflection or radiation intensity of the target at hundreds of different wavelengths, thus forming a spectral image composed of hundreds of continuous bands. The traditional processing method of sampling first and then compressing not only cannot fundamentally solve the problem of huge amount of data, but also causes waste of resources. To solve this problem, a spectral image reconstruction method based on compressed sampling in spatial domain and transform coding in spectral domain is designed by using the sparsity of single-band two-dimensional image and the spectral redundancy of spatial coded data. Based on Bayesian theory, a compressed sensing measurement matrix of adaptive projection is proposed. Combining these two algorithms, an adaptive Grouplet-FBCS algorithm is constructed to reconstruct the image using smooth projection Landweber. Experimental results show that, compared with existing image block compression sensing algorithms, this algorithm can significantly improve the quality of image signal reconstruction.

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de Carvalho, Emanuel R., Richelle J. M. Hoveling, Cornelis J. F. van Noorden, Reinier O. Schlingemann, and Maurice C. G. Aalders. "Functional Imaging of the Ocular Fundus Using an 8-Band Retinal Multispectral Imaging System." Instruments 4, no. 2 (May 7, 2020): 12. http://dx.doi.org/10.3390/instruments4020012.

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Application of functional imaging in ophthalmology requires efficient imaging techniques that can detect and quantify chromophores to visualise processes in vivo. The aim of the present study was to develop and evaluate a fast and affordable imaging system. We describe an eight-band retinal multispectral imaging (MSI) system and compare it with a hyperspectral imaging (HSI) device. Determination of blood oxygen saturation was studied as proof of principle. Reflectance of incident light is measured as 1/absorbance at different wavelengths between 440 nm and 580 nm. Both devices have incorporated optical bandpass filters in a mydriatic fundus camera. The MSI system scans the retina at eight pre-defined wavelengths specific for the spectrum of haemoglobin. The HSI system acquires a full scan from 480 to 720 nm in 5 nm steps. A simple assessment of the ratio between the absorbance peaks of oxygenated haemoglobin (HbO2) and reduced haemoglobin (HbR) was not suitable for generating validated oxygenation maps of the retina. However, a correction algorithm that compares the measured reflectance with reflectance spectra of fully oxygenated and fully deoxygenated blood allowed our MSI setup to estimate relative oxygen saturation at higher levels, but underestimated relative oxygen saturation at lower levels. The MSI device generated better quality images than the HSI device. It allows customisation with filter sets optimised for other chromophores of interest, and augmented with extrinsic contrast imaging agents, it has the potential for a wider range of ophthalmic molecular imaging applications.

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Wang, Libing, Bo Zhang, Qian Shen, Yue Yao, Shengyin Zhang, Huaidong Wei, Rongpeng Yao, and Yaowen Zhang. "Estimation of Soil Salt and Ion Contents Based on Hyperspectral Remote Sensing Data: A Case Study of Baidunzi Basin, China." Water 13, no. 4 (February 22, 2021): 559. http://dx.doi.org/10.3390/w13040559.

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Soil salinity due to irrigation diversion affects regional agriculture, and the development of soil composition estimation models for the dynamic monitoring of regional salinity is important for salinity control. In this study, we evaluated the performance of hyperspectral data measured using an analytical spectral device (ASD) field spec standard-res hand-held spectrometer and satellite sensor visible shortwave infrared advanced hyperspectral imager (AHSI) in estimating the soil salt content (SSC). First derivative analysis (FDA) and principal component analysis (PCA) were applied to the data using the raw spectra (RS) to select the best model input data. We tested the ability of these three groups of data as input data for partial least squares regression (PLSR), principal component regression (PCR), and multiple linear regression (MLR). Finally, an estimation model of the SSC, Na+, Cl−, and SO42− contents was established using the best input data and modeling method, and a spatial distribution map of the soil composition content was drawn. The results show that the soil spectra obtained from the satellite hyperspectral data (AHSI) and laboratory spectral data (ASD) were consistent when the SSC was low, and as the SSC increased, the spectral curves of the ASD data showed little change in the curve characteristics, while the AHSI data showed more pronounced features, and this change was manifested in the AHSI images as darker pixels with a lower SSC and brighter pixels with a higher SSC. The AHSI data demonstrated a strong response to the change in SSC; therefore, the AHSI data had a greater advantage compared with the ASD data in estimating the soil salt content. In the modeling process, RS performed the best in estimating the SSC and Na+ content, with the R2 reaching 0.79 and 0.58, respectively, and obtaining low root mean squared error (RMSE) values. FDA and PCA performed the best in estimating Cl− and SO42−, while MLR outperformed PLSR and PCR in estimating the content of the soil components in the region. In addition, the hyperspectral camera data used in this study were very cost-effective and can potentially be used for the evaluation of soil salinization with a wide range and high accuracy, thus reducing the errors associated with the collection of individual samples using hand-held hyperspectral instruments.

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Pligin, Anatoly V., Maxim A. Kislov, Aleksandr V. Maksimov, and Vladimir A. Klevno. "The problems of determining of the age of bruises by modern diagnostic methods. Literature review." Russian Journal of Forensic Medicine 8, no. 1 (April 14, 2022): 51–58. http://dx.doi.org/10.17816/fm699.

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Determination of the age of bruises is an important task forensic medicine. The article provide a review of the literature concerning the state of the study of this problem. Traumatic hemorrhages, the most frequent injuries encountered in practice by a forensic medical expert, are formed as a result of accumulation of blood in the lesion due to rupture of blood vessels. Traditionally, the leading methods for determining the age of traumatic effects are macroscopy, colorimetry, radiography, impedance measurement, ultrasonography, infrared thermometry, spectrophotometry, etc. The difficulties of using instrumental methods are associated with the operation of devices, the high cost of equipment, and often with the contradictory opinion of the authors, which does not allow choosing a certain method. In various publications, the advantage is given to those methods that analyze color as the main characteristic of a bruise. In order to objectify this characteristic, is actively underway on the development of spectroscopy technologies capable of determining the spectrum of substances beyond the control of the human eye. A promising approach to establish the prescription of traumatic hemorrhages can be the method of hyperspectral spectroscopy by simultaneously capturing the image of a bruise and obtaining spectral, including spatial data of the studied skin area. The expediency of using hyperspectral technologies in forensic medical practice lies in the non-invasiveness of the study, harmlessness to living persons, compactness of the device, as well as the prospects of studying the lifetime of bruises in corpses. The conducted analysis of the literature creates the need to explore the possibilities of this method.

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Journal articles on the topic 'Hyperspectral device'

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