Статті в журналах з теми "Polarimetric camera"

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1

Birch, Philip, Rupert Young, and Chris Chatwin. "Multiple-view polarimetric camera." Applied Optics 57, no. 22 (July 24, 2018): 6329. http://dx.doi.org/10.1364/ao.57.006329.

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2

Chen, Mingce, Zhexun Li, Mao Ye, Taige Liu, Chai Hu, Jiashuo Shi, Kewei Liu, Zhe Wang, and Xinyu Zhang. "All-In-Focus Polarimetric Imaging Based on an Integrated Plenoptic Camera with a Key Electrically Tunable LC Device." Micromachines 13, no. 2 (January 26, 2022): 192. http://dx.doi.org/10.3390/mi13020192.

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In this paper, a prototyped plenoptic camera based on a key electrically tunable liquid-crystal (LC) device for all-in-focus polarimetric imaging is proposed. By using computer numerical control machining and 3D printing, the proposed imaging architecture can be integrated into a hand-held prototyped plenoptic camera so as to greatly improve the applicability for outdoor imaging measurements. Compared with previous square-period liquid-crystal microlens arrays (LCMLA), the utilized hexagonal-period LCMLA has remarkably increased the light utilization rate by ~15%. Experiments demonstrate that the proposed imaging approach can simultaneously realize both the plenoptic and polarimetric imaging without any macroscopic moving parts. With the depth-based rendering method, both the all-in-focus images and the all-in-focus degree of linear polarization (DoLP) images can be obtained efficiently. Due to the large depth-of-field advantage of plenoptic cameras, the proposed camera enables polarimetric imaging in a larger depth range than conventional 2D polarimetric cameras. Currently, the raw light field images with three polarization states including I0 and I60 and I120 can be captured by the proposed imaging architecture, with a switching time of several tens of milliseconds. Some local patterns which are selected as interested target features can be effectively suppressed or obviously enhanced by switching the polarization state mentioned. According to experiments, the visibility in scattering medium can also be apparently improved. It can be expected that the proposed polarimetric imaging approach will exhibit an excellent development potential.
3

Chenault, David B., Justin P. Vaden, Douglas A. Mitchell, and Erik D. Demicco. "Thermal Infrared Polarimetric Sensor for Automated Detection of Oil Spills." International Oil Spill Conference Proceedings 2017, no. 1 (May 1, 2017): 2017402. http://dx.doi.org/10.7901/2169-3358-2017.1.000402.

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One of the most effective ways of minimizing oil spill impact is early detection. Effective early detection requires automated detection that relies as little as possible on an operator and can operate 24/7. A new and innovative optical detection system exploits the polarization of light, the same physics used to reduce glare through the use of polarized glasses but in the thermal infrared (TIR) portion of the optical spectrum. Measuring the polarization of thermally emitted radiation from an oil spill enhances the detection over conventional thermal cameras and has the potential to provide automated day / night monitoring and surveillance. The sensors developed thus far are relatively small and inexpensive and can be easily mounted in areas that need monitoring and installed in unmanned aerial systems (UAS). Since the sensor is adapted from a conventional TIR camera, thermal imagery as currently used is collected in addition to the polarimetric imagery to further improve the detection performance. Lens options enable wide area coverage at shorter ranges and higher resolution at longer ranges from the camera position. A TIR Polarimetric camera was tested at Ohmsett to establish performance under a variety of conditions. The Polarimetric camera was tested during the day and at night, under several different wave conditions generated in the wave tank, and with oil of different compositions and thicknesses. The imagery collected was analyzed to establish the contrast improvement through the polarimetric properties of the oil and to assess the automation of the detection process. In this poster, the sensor and test setup will be briefly described with detailed description of the results and the potential of this detection approach for automated detection.
4

Liu, Mingxin, Xin Zhang, Tao Liu, Guangwei Shi, Lingjie Wang, and Yi Li. "On-Orbit Polarization Calibration for Multichannel Polarimetric Camera." Applied Sciences 9, no. 7 (April 4, 2019): 1424. http://dx.doi.org/10.3390/app9071424.

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In this paper, a new on-orbit polarization calibration method for the multichannel polarimetric camera is presented. A polarization calibration model for the polarimetric camera is proposed by taking analysis of the polarization radiation transmission process. In order to get the polarization parameters in the calibration model, an on-orbit measurement scheme is reported, which uses a solar diffuser and a built-in rotatable linear analyzer. The advantages of this scheme are sharing the same calibration assembly with the radiometric calibration and acquiring sufficient polarization accuracy. The influence of the diffuser for the measurement is analyzed. By using a verification experiment, the proposed method can achieve on-orbit polarization calibration. The experimental results show that the relative deviation for the measured degree of linear polarization is 0.8% at 670 nm, which provides a foundation for the accurate application of polarimetric imaging detection.
5

Tu Bihai, 涂碧海, 洪津 Hong Jin, 姚萍萍 Yao Pingping, 孟炳寰 Meng Binhuan, 袁银麟 Yuan Yinlin, 张苗苗 Zhang Miaomiao, and 翁建文 Weng Jianwen. "Polarization Detection Performance of Directional Polarimetric Camera." Acta Optica Sinica 40, no. 7 (2020): 0712003. http://dx.doi.org/10.3788/aos202040.0712003.

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6

Huang, Chan, Guangfeng Xiang, Yuyang Chang, Lin Han, Miaomiao Zhang, Shuang Li, Bihai Tu, Binghuan Meng, and Jin Hong. "Pre-flight calibration of a multi-angle polarimetric satellite sensor directional polarimetric camera." Optics Express 28, no. 9 (April 17, 2020): 13187. http://dx.doi.org/10.1364/oe.391078.

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7

Yuan, Y., Z. Liu, X. Zheng, Q. Kang, H. Wu, J. Li, S. Li, D. Luo, and J. Hong. "POLARIMETRIC CALIBRATION OF THE SPACEBORNE DIRECTIONAL POLARIMETRIC CAMERA INSTALLED ON THE GF-5 SATELLITE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 599–606. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-599-2020.

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Abstract. The Spaceborne Directional Polarimetric Camera (SDPC) is dedicated to obtain an accurate information of clouds and microphysical properties of aerosol particles via multi-angle, multi-spectral and multi-polarization observations. It images the Earth with 110° field of view (FOV) in 3 polarimetric spectral bands and 5 non-polarimetric spectral bands from visible to near infrared. Due to its wide FOV telecentric optical system and multi-channels, polarization sensitivity of optical components (PSOC) and non-uniform response of pixels (NURP) are the main uncertainty factors of polarimetric calibration.In this paper, a polarimetric calibration model of SDPC has been constructed for increasing the measurement accuracy. Combined an integrating sphere with a polarization generator as source, PSOC can be measured in high accuracy by using the Fourier series analysis method which reduces the impact form the alignment error of the generator. The sectional viewing field measurement method is used to acquire NURP while the large aperture integrating sphere served as reference source. Subsequently, the data of NURP have been corrected by the relative transmittance of high frequency and low frequency respectively for polarized channels. The result of validation experiment shows that the polarization measurement errors in 0°, 15°, 30°, and 45° half field of view (HFOV) are all less than 0.5% when the degree of linear polarization of reference source is larger than 0.1.
8

ZHANG Miao-miao, 张苗苗, 孟炳寰 MENG Bing-huan, 韩琳 HAN Lin, and 洪津 HONG Jin. "Correction of Ghost Artifacts for Directional Polarimetric Camera." ACTA PHOTONICA SINICA 48, no. 1 (2019): 111002. http://dx.doi.org/10.3788/gzxb20194801.0111002.

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9

Takeda, Shin’ichiro, Hirokazu Odaka, Junichiro Katsuta, Shin-nosuke Ishikawa, So-ichiro Sugimoto, Yuu Koseki, Shin Watanabe, et al. "Polarimetric performance of Si/CdTe semiconductor Compton camera." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 622, no. 3 (October 2010): 619–27. http://dx.doi.org/10.1016/j.nima.2010.07.077.

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10

Chen, Zhenyue, Xia Wang, Shaun Pacheco, and Rongguang Liang. "Impact of CCD camera SNR on polarimetric accuracy." Applied Optics 53, no. 32 (November 4, 2014): 7649. http://dx.doi.org/10.1364/ao.53.007649.

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11

Huang, Chan, Miaomiao Zhang, Yuyang Chang, Feinan Chen, Lin Han, Binghuan Meng, Jin Hong, et al. "Directional polarimetric camera stray light analysis and correction." Applied Optics 58, no. 26 (September 3, 2019): 7042. http://dx.doi.org/10.1364/ao.58.007042.

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12

Qiu Zhenwei, 裘桢炜, 洪津 Hong Jin, 李双 Li Shuang, and 孙亮 Sun Liang. "Methods to Simultaneously Achieve Radiometric and Polarimetric Accuracy for Multichannel Ultra-Wide-Angle Polarimetric Camera." Acta Optica Sinica 33, no. 8 (2013): 0828003. http://dx.doi.org/10.3788/aos201333.0828003.

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13

Devaraj, R., A. Luna, L. Carrasco, and Y. D. Mayya. "Preliminary status of POLICAN: A near-infrared imaging polarimeter." Proceedings of the International Astronomical Union 10, S305 (December 2014): 175–80. http://dx.doi.org/10.1017/s174392131500472x.

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AbstractPOLICAN is a near-infrared (J, H, K) imaging polarimeter developed for the Cananea near infrared camera (CANICA) at the 2.1m telescope of the Guillermo Haro Astrophysical Observatory (OAGH) located at Cananea, Sonora, México. The camera has a 1024 x 1024 HgCdTe detector (HAWAII array) with a plate scale of 0.32 arcsec/pixel providing a field of view of 5.5 x 5.5 arcmin. POLICAN is mounted externally to CANICA for narrow-field (f/12) linear polarimetric observations. It consists of a rotating super achromatic (1-2.7μm) half waveplate and a fixed wire-grid polarizer as the analyzer. The light is modulated by setting the half waveplate at different angles (0○, 22.5○, 45○, 67.5○) and linear combinations of the Stokes parameters (I, Q and U) are obtained. Image reduction and removal of instrumental polarization consist of dark noise subtraction, polarimetric flat fielding and background sky subtraction. Polarimetric calibration is performed by observing polarization standards available in the literature. The astrometry correction is performed by matching common stars with the Two Micron All Sky Survey. POLICAN's bright and limiting magnitudes are approximately 6th and 16th magnitude, which correspond to saturation and photon noise, respectively. POLICAN currently achieves a polarimetric accuracy about 3.0% and polarization angle uncertainties within 3○. Preliminary observations of star forming regions are being carried out in order to study their magnetic field properties.
14

Xiang, Guangfeng, Binghuan Meng, Bihai Tu, Xuefeng Lei, Tingrui Sheng, Lin Han, Donggen Luo, and Jin Hong. "On-Orbit Autonomous Geometric Calibration of Directional Polarimetric Camera." Remote Sensing 14, no. 18 (September 12, 2022): 4548. http://dx.doi.org/10.3390/rs14184548.

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The Directional Polarimetric Camera (DPC) carried by the Chinese GaoFen-5-02 (GF-5-02) satellite has the ability for multiangle, multispectral, and polarization detection and will play an important role in the inversion of atmospheric aerosol and cloud characteristics. To ensure the validity of the DPC on-orbit multiangle and multispectral polarization data, high-precision image registration and geolocation are vital. High-precision geometric model parameters are a prerequisite for on-orbit image registration and geolocation. Therefore, on the basis of the multiangle imaging characteristics of DPC, an on-orbit autonomous geometric calibration method without ground reference data is proposed. The method includes three steps: (1) preprocessing the original image of the DPC and the satellite attitude and orbit parameters; (2) scale-invariant feature transform (SIFT) algorithm to match homologous points between multiangle images; (3) optimization of geometric model parameters on-orbit using least square theory. To verify the effectiveness of the on-orbit autonomous geometric calibration method, the image registration performance and relative geolocation accuracy before and after DPC on-orbit geometric calibration were evaluated and analyzed using the SIFT algorithm and the coastline crossing method (CCM). The results show that the on-orbit autonomous geometric calibration effectively improves the DPC image registration and relative geolocation accuracy. After on-orbit calibration, the multiangle image registration accuracy is better than 1.530 km, the multispectral image registration accuracy is better than 0.650 km, and the relative geolocation accuracy is better than 1.275 km, all reaching the subpixel level (<1.7 km).
15

Fade, Julien, Estéban Perrotin, and Jérôme Bobin. "Polarizer-free two-pixel polarimetric camera by compressive sensing." Applied Optics 57, no. 7 (January 25, 2018): B102. http://dx.doi.org/10.1364/ao.57.00b102.

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16

Raghukumar, Kaustubha, Lindsay Hogan, Christopher Zappa, Frank Spada, and Grace Chang. "Optical detection of ensonified capillary-gravity waves using polarimetric imaging." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A64. http://dx.doi.org/10.1121/10.0018177.

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The optical detection of surface capillary-gravity waves induced by underwater sound has many potential applications that range from the detection of sound-generating underwater objects to airborne bathymetric surveys. While multiple lab-based efforts have measured acoustically generated surface capillary-gravity waves, we report on a recent field-based measurement using polarimetric imaging. A controlled acoustic source was placed 10 m below a lake surface and emitted sound in the 500 Hz to 10000Hz frequency range. The lake surface was imaged using a polarimetric camera mounted 7 m above the lake surface. Measurable short-lived surface capillary-gravity waves (∼3 mm wavelength) were observed in the polarimetric camera images during ensonification of the lake surface. Changes were observed in both the omnidirectional and directional wave spectra. In the omni-directional wavenumber spectrum, enhanced capillary wave activity at high wavenumbers was observed for acoustic source frequencies in the 2–5 kHz range. Additionally, ensonification was observed to result in the amplitude and wavenumber modulation (enhancement/diminution) of existing wind-generated surface gravity-capillary waves. In the directional spectra, while ambient gravity-capillary waves showed a spreading function with stronger downwind versus upwind propagation, the acoustically generated gravity-capillary waves showed minimal impact on the directionality of the wave spectra.
17

Yu, Haixiao, Jinji Ma, Safura Ahmad, Erchang Sun, Chao Li, Zhengqiang Li, and Jin Hong. "Three-Dimensional Cloud Structure Reconstruction from the Directional Polarimetric Camera." Remote Sensing 11, no. 24 (December 4, 2019): 2894. http://dx.doi.org/10.3390/rs11242894.

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Clouds affect radiation transmission through the atmosphere, which impacts the Earth’ s energy balance and climate. Currently, the study of clouds is mostly based on a two-dimensional (2-D) plane rather than a three-dimensional (3-D) space. However, 3-D cloud reconstruction is playing an important role not only in a radiation transmission calculation but in forecasting climate change as well. Currently, the study of clouds is mostly based on 2-D single angle satellite observation data while the importance of a 3-D structure of clouds in atmospheric radiation transmission is ignored. 3-D structure reconstruction would improve the radiation transmission accuracy of the cloudy atmosphere based on multi-angle observations data. Characterizing the 3-D structure of clouds is crucial for an extensive study of this complex intermediate medium in the atmosphere. In addition, it is also a great carrier for visualization of its parameters. Special attributes and the shape of clouds can be clearly illustrated in a 3-D cloud while these are difficult to describe in a 2-D plane. It provides a more intuitive expression for the study of complex cloud systems. In order to reconstruct a 3-D cloud structure, we develop and explore a ray casting algorithm applied to data from the Directional Polarimetric Camera (DPC), which is onboard the GF-5 satellite. In this paper, we use DPC with characteristics of imaging multiple angles of the same target, and characterize observations of clouds from different angles in 3-D space. This feature allows us to reconstruct 3-D clouds from different angles of observations. In terms of verification, we use cloud profile data provided by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) to compare with the results of reconstructed 3-D clouds based on DPC data. This shows that the reconstruction method has good accuracy and effectiveness. This 3-D cloud reconstruction method would lay a scientific reference for future analysis on the role of clouds in the atmosphere and for the construction of 3-D structures of aerosols.
18

Diner, David J., Ab Davis, Bruce Hancock, Sven Geier, Brian Rheingans, Veljko Jovanovic, Michael Bull, et al. "First results from a dual photoelastic-modulator-based polarimetric camera." Applied Optics 49, no. 15 (May 19, 2010): 2929. http://dx.doi.org/10.1364/ao.49.002929.

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19

Adami, Obaïd-Allah, Louis Rodriguez, Albrecht Poglitsch, Sophie Bounissou, Vincent Reveret, Abdelkader Aliane, Valérie Goudon, and Laurent Dussopt. "Highly sensitive polarimetric camera (B-BOP) for the SPICA mission." Applied Optics 58, no. 2 (January 8, 2019): 398. http://dx.doi.org/10.1364/ao.58.000398.

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20

Shang, Huazhe, Husi Letu, Liangfu Chen, Jérôme Riedi, Run Ma, Lesi Wei, Laurent C. Labonnote, et al. "Cloud thermodynamic phase detection using a directional polarimetric camera (DPC)." Journal of Quantitative Spectroscopy and Radiative Transfer 253 (September 2020): 107179. http://dx.doi.org/10.1016/j.jqsrt.2020.107179.

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21

Hooper, Brett A., Becky Van Pelt, J. Z. Williams, J. P. Dugan, M. Yi, C. C. Piotrowski, and C. Miskey. "Airborne Spectral Polarimeter for Ocean Wave Research." Journal of Atmospheric and Oceanic Technology 32, no. 4 (April 2015): 805–15. http://dx.doi.org/10.1175/jtech-d-14-00190.1.

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AbstractThe Airborne Remote Optical Spotlight System (AROSS) family of sensors consists of airborne imaging systems that provide passive, high-dynamic range, time series image data and has been used successfully to characterize currents and bathymetry of nearshore ocean, tidal flat, and riverine environments. AROSS–multispectral polarimeter (AROSS-MSP) is a 12-camera system that extends this time series capability to simultaneous color and polarization measurements for the full linear polarization of the imaged scene in red, green, and blue, and near-infrared (RGB–NIR) wavelength bands. Color and polarimetry provide unique information for retrieving dynamic environmental parameters over a larger area (square kilometers) than is possible with typical in situ measurements. This particular field of optical remote sensing is developing rapidly, and simultaneous color and polarimetric data are expected to enable the development of a number of additional important environmental data products, such as the improved ability to image the subsurface water column or maximizing wave contrast to improve oceanographic parameter retrievals of wave spectra and wave heights.One of the main obstacles to providing good-quality polarimetric image data from a multicamera system is the ability to accurately merge imagery from the cameras to a subpixel level. This study shows that the imagery from AROSS-MSP can be merged to an accuracy better than one-twentieth of a pixel, comparing two different automated algorithmic techniques. This paper describes the architecture of AROSS-MSP, the approach for providing simultaneous color and polarization imagery in space and time, an error analysis to characterize the measurements, and example color and polarization data products from ocean wave imagery.
22

Qi, Ji, Chao He, and Daniel S. Elson. "Real time complete Stokes polarimetric imager based on a linear polarizer array camera for tissue polarimetric imaging." Biomedical Optics Express 8, no. 11 (October 10, 2017): 4933. http://dx.doi.org/10.1364/boe.8.004933.

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23

Mereu, Luigi, Simona Scollo, Costanza Bonadonna, Valentin Freret-Lorgeril, and Frank Silvio Marzano. "Multisensor Characterization of the Incandescent Jet Region of Lava Fountain-Fed Tephra Plumes." Remote Sensing 12, no. 21 (November 5, 2020): 3629. http://dx.doi.org/10.3390/rs12213629.

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Explosive basaltic eruptions eject a great amount of pyroclastic material into the atmosphere, forming columns rising to several kilometers above the eruptive vent and causing significant disruption to both proximal and distal communities. Here, we analyze data, collected by an X-band polarimetric weather radar and an L-band Doppler fixed-pointing radar, as well as by a thermal infrared (TIR) camera, in relation to lava fountain-fed tephra plumes at the Etna volcano in Italy. We clearly identify a jet, mainly composed of lapilli and bombs mixed with hot gas in the first portion of these volcanic plumes and here called the incandescent jet region (IJR). At Etna and due to the TIR camera configuration, the IJR typically corresponds to the region that saturates thermal images. We find that the IJR is correlated to a unique signature in polarimetric radar data as it represents a zone with a relatively high reflectivity and a low copolar correlation coefficient. Analyzing five recent Etna eruptions occurring in 2013 and 2015, we propose a jet region radar retrieval algorithm (JR3A), based on a decision-tree combining polarimetric X-band observables with L-band radar constraints, aiming at the IJR height detection during the explosive eruptions. The height of the IJR does not exactly correspond to the height of the lava fountain due to a different altitude, potentially reached by lapilli and blocks detected by the X-band weather radar. Nonetheless, it can be used as a proxy of the lava fountain height in order to obtain a first approximation of the exit velocity of the mixture and, therefore, of the mass eruption rate. The comparisons between the JR3A estimates of IJR heights with the corresponding values recovered from TIR imagery, show a fairly good agreement with differences of less than 20% in clear air conditions, whereas the difference between JR3A estimates of IJR height values and those derived from L-band radar data only are greater than 40%. The advantage of using an X-band polarimetric weather radar in an early warning system is that it provides information in all weather conditions. As a matter of fact, we show that JR3A retrievals can also be obtained in cloudy conditions when the TIR camera data cannot be processed.
24

TU Bihai, 涂碧海, 姚萍萍 YAO Pingping, 李树 LI Shu, 提汝芳 TI Rufang, 孟炳寰 MENG Binghuan, 黄禅 HUANG Chan та 洪津 HONG Jin. "基于云偏振的偏振成像仪参量检验方法". ACTA PHOTONICA SINICA 50, № 5 (2021): 223. http://dx.doi.org/10.3788/gzxb20215005.0512003.

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25

Bi-hai TU, 涂碧海, 姚萍萍 Ping-ping YAO, 孟炳寰 Bing-huan MENG, 翁建文 Jian-wen WENG, 黄禅 Chan HUANG, and 洪津 Jin HONG. "Research on Non-uniformity Correction of Detector for Directional Polarimetric Camera." ACTA PHOTONICA SINICA 49, no. 9 (2020): 911002. http://dx.doi.org/10.3788/gzxb20204909.0911002.

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26

Yao Pingping, 姚萍萍, 许孙龙 Xu Sunlong, 涂碧海 Tu Bihai, 崔珊珊 Cui Shanshan, 金洁 Jin Jie, 骆冬根 Luo Donggen, and 洪津 Hong Jin. "Screening and Testing Method of Area Detectors for Directional Polarimetric Camera." Acta Optica Sinica 40, no. 11 (2020): 1112002. http://dx.doi.org/10.3788/aos202040.1112002.

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27

Guang-feng XIANG, 向光峰, 黄禅 Chan HUANG, 孟炳寰 Bing-huan MENG, 李双 Shuang LI, 韩琳 Lin HAN, 涂碧海 Bi-hai TU, and 洪津 Jin HONG. "In-flight Image Registration and Performance Evaluation for Directional Polarimetric Camera." ACTA PHOTONICA SINICA 49, no. 8 (2020): 812001. http://dx.doi.org/10.3788/gzxb20204908.0812001.

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28

Chen, Feinan, Donggen Luo, Shuang Li, Benyong Yang, Liang Sun, Shule Ge, and Jin Hong. "The Operational Inflight Radiometric Uniform Calibration of a Directional Polarimetric Camera." Remote Sensing 13, no. 19 (September 24, 2021): 3823. http://dx.doi.org/10.3390/rs13193823.

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The directional polarimetric camera (DPC) on-board the GF-5A satellite is designed for atmospheric or water color detection, which requires high radiometric accuracy. Therefore, in-flight calibration is a prerequisite for its inversion application. For large field optical sensors, it is very challenging to ensure the consistency of radiation detection in the whole field of view in the space environment. Our work proposes a vicarious in-flight calibration method based on sea non-equipment sites (visible bands) and land non-equipment sites (all bands). Combined with environmental parameters and radiation transmission calculations, we evaluated the radiation detection accuracy of the 0° to 60° view zenith angle of the DPC in each band. Our calibration method is based on the single-day normalized radiance data measured by the DPC. Through data selection, enough calibration samples can be obtained in a single day (the number of desert samples is more than 5000, and the number of calibration samples of the ocean is more than 2.8×106). The measurements are compared with the simulation of 6SV VRT code or look-up tables. The massive amount of data averages the uncertainty of a single-point calculation. Although the uncertainty of a single sample is significant, the final fitting of the curve of the variation in the radiometric calibration coefficient with the observation angle can still keep the root mean squared error at approximately 2–3% or even lower, and for visible bands, the calibration results for both ocean sites and desert sites are in good agreement regarding the non-uniformity of the sensor.
29

Zhang Miaomiao, 张苗苗, 孟炳寰 Meng Binghuan, 骆冬根 Luo Donggen, 杨本永 Yang Benyong, 提汝芳 Ti Rufang, and 洪津 Hong Jin. "Measurement Precision Verification and Deviation Analysis of Spaceborne Directional Polarimetric Camera." Acta Optica Sinica 38, no. 8 (2018): 0812004. http://dx.doi.org/10.3788/aos201838.0812004.

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30

Zhang, Wenfei, Jian Liang, Liyong Ren, Haijuan Ju, Enshi Qu, Zhaofeng Bai, Yao Tang, and Zhaoxin Wu. "Real-time image haze removal using an aperture-division polarimetric camera." Applied Optics 56, no. 4 (January 26, 2017): 942. http://dx.doi.org/10.1364/ao.56.000942.

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31

Guan, Zijian, François Goudail, Mingxuan Yu, Xiaobo Li, Qun Han, Zhenzhou Cheng, Haofeng Hu, and Tiegen Liu. "Contrast optimization in broadband passive polarimetric imaging based on color camera." Optics Express 27, no. 3 (January 25, 2019): 2444. http://dx.doi.org/10.1364/oe.27.002444.

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32

Qie, Lili, Zhengqiang Li, Sifeng Zhu, Hua Xu, Yisong Xie, Rui Qiao, Jin Hong, and Bihai Tu. "In-flight radiometric and polarimetric calibration of the Directional Polarimetric Camera onboard the GaoFen-5 satellite over the ocean." Applied Optics 60, no. 24 (August 13, 2021): 7186. http://dx.doi.org/10.1364/ao.422980.

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33

Harper, Doyal A., Marcus C. Runyan, C. Darren Dowell, C. Jesse Wirth, Michael Amato, Troy Ames, Mandana Amiri, et al. "HAWC+, the Far-Infrared Camera and Polarimeter for SOFIA." Journal of Astronomical Instrumentation 07, no. 04 (December 2018): 1840008. http://dx.doi.org/10.1142/s2251171718400081.

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High-resolution Airborne Wide-band Camera (HAWC[Formula: see text]) is the facility far-infrared imager and polarimeter for SOFIA, NASA’s Stratospheric Observatory for Infrared Astronomy. It is designed to cover the portion of the infrared spectrum that is completely inaccessible to ground-based observatories and which is essential for studies of astronomical sources with temperatures between tens and hundreds of degrees Kelvin. Its ability to make polarimetric measurements of aligned dust grains provides a unique new capability for studying interstellar magnetic fields. HAWC[Formula: see text] began commissioning flights in April 2016 and was accepted as a facility instrument in early 2018. In this paper, we describe the instrument, its operational procedures, and its performance on the observatory.
34

Yao, Pingping, Bihai Tu, Sunlong Xu, Donggen Luo, and Jin Hong. "Electro-optical performance characterization of charge coupled device for directional polarimetric camera." Results in Optics 3 (May 2021): 100055. http://dx.doi.org/10.1016/j.rio.2021.100055.

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35

Huang, Chan, Yuyang Chang, Guangfeng Xiang, Lin Han, Feinan Chen, Donggen Luo, Shuang Li, et al. "Polarization measurement accuracy analysis and improvement methods for the directional polarimetric camera." Optics Express 28, no. 26 (December 8, 2020): 38638. http://dx.doi.org/10.1364/oe.405834.

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36

Li, Xuan, Fei Liu, Pingli Han, Yi Wei, Dahu Zhao, Xiaopeng Shao, and Xiaoming Zhao. "Research on polarization dehazing through the coaxial and multi-aperture polarimetric camera." OSA Continuum 2, no. 8 (July 24, 2019): 2369. http://dx.doi.org/10.1364/osac.2.002369.

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37

Fukagawa, M., J. P. Wisniewski, J. Hashimoto, Y. Okamoto, C. A. Grady, T. Muto, S. I. Inutsuka, et al. "High-contrast polarimetric imaging of the protoplanetary disk around AB Aurigae." Proceedings of the International Astronomical Union 6, S276 (October 2010): 420–21. http://dx.doi.org/10.1017/s1743921311020618.

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AbstractWe present the spatially-resolved polarization measurements for the disk around the Herbig Ae star, AB Aurigae. The images were obtained in J, H, and Ks bands with the coronagraphic camera HiCIAO on the Subaru Telescope. The inner region beyond 30 AU from the star was imaged, which reveals an azimuthal dip, a radial gap at around 80 AU, and complex spiral-like emission in polarized light.
38

Lei, Yu, Bing Lei, Yubo Cai, Chao Gao, and Fujie Wang. "Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm." Applied Sciences 11, no. 21 (October 27, 2021): 10040. http://dx.doi.org/10.3390/app112110040.

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To improve the robustness of current polarimetric dehazing scheme in the condition of low degree of polarization, we report a polarimetric dehazing method based on the image fusion technique and adaptive adjustment algorithm which can operate well in many different conditions. A splitting focus plane linear polarization camera was employed to grab the images of four different polarization directions, and the haze was separated from the hazy images by low-pass filtering roughly. Then the image fusion technique was used to optimize the method of estimating the transmittance map. To improve the quality of the dehazed images, an adaptive adjustment algorithm was introduced to adjust the illumination distribution of the dehazed images. The outdoor experiments have been implemented and the results indicated that the presented method could restore the target information obviously, and both the visual effect and quantitative evaluation have been enhanced.
39

Ballesta-Garcia, Maria, Sara Peña-Gutiérrez, Aina Val-Martí, and Santiago Royo. "Polarimetric Imaging vs. Conventional Imaging: Evaluation of Image Contrast in Fog." Atmosphere 12, no. 7 (June 24, 2021): 813. http://dx.doi.org/10.3390/atmos12070813.

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We compare conventional intensity imaging against different modes of polarimetric imaging by evaluating the image contrast of images taken in a controlled foggy environment. A small-scale fog chamber has been designed and constructed to create the necessary controlled foggy environment. A division-of-focal-plane camera of linear polarization and a linearly polarized light source has been used for performing the experiments with polarized light. In order to evaluate the image contrast of the different imaging modes, the Michelson contrast of samples of different materials relative to their background has been calculated. The higher the image contrast, the easier it is to detect and segment the targets of interest that are surrounded by fog. It has been quantitatively demonstrated that polarimetric images present an improvement in contrast compared to conventional intensity images in the situations studied.
40

Ge, Bangyu, Zhengqiang Li, Cheng Chen, Weizhen Hou, Yisong Xie, Sifeng Zhu, Lili Qie, et al. "An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC)." Remote Sensing 14, no. 16 (August 19, 2022): 4045. http://dx.doi.org/10.3390/rs14164045.

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The DPC is a multiangle sensor that detects atmospheric parameters. However, the retrieval of high-precision and high-spatial-resolution aerosol products from the DPC remains a great challenge due to the ill-posed nature of the problem. Thus, a novel aerosol optical depth (AOD) retrieval algorithm was proposed using visible surface reflectance relationships (VISRRs). The VISRR algorithm accounts for the surface anisotropy and needs neither a shortwave infrared band nor a surface reflectance database that can retrieve AOD over dark and bright land cover. Firstly, moderate-resolution imaging spectroradiometer (MODIS) surface reflectance (MYD09) products were used to derive the preceding surface reflectance relationships (SRRs), which are related to surface types, scattering angle, and normalized difference vegetation index (NDVI). Furthermore, to solve the problem of the NDVI being susceptible to the atmosphere, an innovative method based on an iterative atmospheric correction was proposed to provide a realistic NDVI. The VISRR algorithm was then applied to the thirteen months of DPC multiangle data over the China region. AOD product comparison between the DPC and MODIS showed that they had similar spatial distribution, but the DPC had both high spatial resolution and coverage. The validation between the ground-based sites and the retrieval results showed that the DPC AOD performed best, with a Pearson correlation coefficient (R) of 0.88, a root mean square error (RMSE) of 0.17, and a good fraction (Gfrac) of 62.7%. Then, the uncertainties regarding the AOD products were discussed for future improvements. Our results revealed that the VISRR algorithm is an effective method for retrieving reliable, simultaneously high-spatial-resolution and full-surface-coverage AOD data with good accuracy.
41

Wang, Shupeng, Weishu Gong, Li Fang, Weihe Wang, Peng Zhang, Naimeng Lu, Shihao Tang, Xingying Zhang, Xiuqing Hu, and Xiaobing Sun. "Aerosol Retrieval over Land from the Directional Polarimetric Camera Aboard on GF-5." Atmosphere 13, no. 11 (November 11, 2022): 1884. http://dx.doi.org/10.3390/atmos13111884.

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The DPC (Directional Polarization Camera) onboard the Chinese GaoFen-5 (GF-5) satellite is the first operational aerosol monitoring instrument capable of performing multi-angle polarized measurements in China. Compared with POLDER (Polarization and Directionality of Earth’s Reflectance) which ended its mission in December 2013, DPC has similar band design, with a maximum of 12 imaging angles and a relatively higher spatial resolution of 3.3 km. The global aerosol optical depth (AOD) over land from October to December in 2018 was retrieved with multi-angle polarization measurements of DPC. Comparisons with MODIS (Moderate Resolution Imaging Spectroradiometer) AOD products show relatively good agreement over fine-aerosol-particle-dominated areas such as northern China and Huanghuai areas in eastern China, the southern foothills of the Himalayas and India. AERONET (Aerosol Robotic Network) measurements over Beijing, Xianghe and Kanpur were used to evaluate the accuracy of DPC AOD retrievals. The correlation coefficients are greater than 0.9 and the RMSE are lower than 0.08 for Beijing and Xianghe stations. For Kanpur, a relatively lower correlation of 0.772 and larger RMSE of 0.082 are found.
42

López-Morales, Guadalupe, María del Mar Sánchez-López, Ángel Lizana, Ignacio Moreno, and Juan Campos. "Mueller Matrix Polarimetric Imaging Analysis of Optical Components for the Generation of Cylindrical Vector Beams." Crystals 10, no. 12 (December 18, 2020): 1155. http://dx.doi.org/10.3390/cryst10121155.

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In this work, we performed a Mueller matrix imaging analysis of two commercial optical components usually employed to generate and manipulate vector beams—a radial polarizer and a liquid-crystal q-plate. These two elements generate vector beams by different polarization mechanisms—polarizance and retardance, respectively. The quality of the vector beams relies on the quality of the device that generates them. Therefore, it is of interest to apply the well-established polarimetric imaging techniques to evaluate these optical components by identifying their spatial homogeneity in diattenuation, polarizance, depolarization, and retardance, as well as the spatial variation of the angles of polarizance and retardance vectors. For this purpose, we applied a customized imaging Mueller matrix polarimeter based on liquid-crystal retarders and a polarization camera. Experimental results were compared to the numerical simulations, considering the theoretical Mueller matrix. This kind of polarimetric characterization could be very helpful to the manufacturers and users of these devices.
43

Chenault, David B., Justin P. Vaden, Douglas A. Mitchell, and Erik D. Demicco. "Infrared Polarimetric Sensing of Oil on Water." Marine Technology Society Journal 52, no. 6 (November 1, 2018): 13–22. http://dx.doi.org/10.4031/mtsj.52.6.8.

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AbstractInfrared polarimetry for surface spill detection is an emerging sensing modality shown to significantly enhance contrast in situations where conventional thermal imaging cannot detect a spill. Imaging of the polarization signatures of oil and water in a scene can lead to enhanced understanding, particularly when the materials in a scene are at thermal equilibrium. Testing at Ohmsett has shown good performance with multiple types of crude oil, diesel fuel, and kerosene in several different viewing geometries. Over the course of two separate tests at Ohmsett, recoverable oil was detected during day and night, in calm water and in waves, when puddled on sand and rocks, with and without dispersant, on the surface after subsurface releases, and for fresh, aged, and emulsified oil. In-situ testing has confirmed these capabilities. This new remote sensing capability offers the promise of automated detection of oil spills and leaks for routine monitoring and accident response with the added benefit of continued monitoring at night. The camera has a small form factor that is compatible with all types of platforms including small drones. Polaris Sensor Technologies has tested this technology extensively at the Ohmsett Test Facility with several opportunistic tests in the Gulf of Mexico and near Santa Barbara, CA, with an emphasis on finding the limits of performance. In this paper, we describe the instrumentation and the test results in both controlled and uncontrolled conditions.
44

Wierzba, Paweł. "High-Resolution, Broad-Range Detection Setup for Polarimetric Optical Fiber Sensors." Applied Sciences 13, no. 8 (April 12, 2023): 4849. http://dx.doi.org/10.3390/app13084849.

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A common-path polarization interferometer using a Wollaston prism and an area detector for the measurement of retardation or optical path difference is presented. Employing a moderate-resolution 1280 by 1024 pixel monochrome camera, it offers a measurement range of approximately 780 radians at 830 nm and 1350 radians at 515 nm while maintaining a high measurement resolution. Retardation introduced by a zero-order waveplate or a Soleil–Babinet compensator was measured to evaluate the performance of the interferometer. Based on the presented measurement results, the resolution of the measurement is estimated to be better than 0.002 rad.
45

Pistellato, Mara, Tehreem Fatima, and Michael Wimmer. "Exploiting Light Polarization for Deep HDR Imaging from a Single Exposure." Sensors 23, no. 12 (June 6, 2023): 5370. http://dx.doi.org/10.3390/s23125370.

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In computational photography, high dynamic range (HDR) imaging refers to the family of techniques used to recover a wider range of intensity values compared to the limited range provided by standard sensors. Classical techniques consist of acquiring a scene-varying exposure to compensate for saturated and underexposed regions, followed by a non-linear compression of intensity values called tone mapping. Recently, there has been a growing interest in estimating HDR images from a single exposure. Some methods exploit data-driven models trained to estimate values outside the camera’s visible intensity levels. Others make use of polarimetric cameras to reconstruct HDR information without exposure bracketing. In this paper, we present a novel HDR reconstruction method that employs a single PFA (polarimetric filter array) camera with an additional external polarizer to increase the scene’s dynamic range across the acquired channels and to mimic different exposures. Our contribution consists of a pipeline that effectively combines standard HDR algorithms based on bracketing and data-driven solutions designed to work with polarimetric images. In this regard, we present a novel CNN (convolutional neural network) model that exploits the underlying mosaiced pattern of the PFA in combination with the external polarizer to estimate the original scene properties, and a second model designed to further improve the final tone mapping step. The combination of such techniques enables us to take advantage of the light attenuation given by the filters while producing an accurate reconstruction. We present an extensive experimental section in which we validate the proposed method on both synthetic and real-world datasets specifically acquired for the task. Quantitative and qualitative results show the effectiveness of the approach when compared to state-of-the-art methods. In particular, our technique exhibits a PSNR (peak signal-to-noise ratio) on the whole test set equal to 23 dB, which is 18% better with respect to the second-best alternative.
46

Li, Zhengqiang, Weizhen Hou, Jin Hong, Fengxun Zheng, Donggen Luo, Jun Wang, Xingfa Gu, and Yanli Qiao. "Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation." Journal of Quantitative Spectroscopy and Radiative Transfer 218 (October 2018): 21–37. http://dx.doi.org/10.1016/j.jqsrt.2018.07.003.

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47

Huang, Chan, Binghuan Meng, Yuyang Chang, Feinan Chen, Miaomiao Zhang, Lin Han, Guangfeng Xiang, Bihai Tu, and Jin Hong. "Geometric calibration method based on a two-dimensional turntable for a directional polarimetric camera." Applied Optics 59, no. 1 (December 24, 2019): 226. http://dx.doi.org/10.1364/ao.59.000226.

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48

Suárez-Bermejo, Juan Carlos, J. Carlos González de Sande, Massimo Santarsiero, and Gemma Piquero. "Experimental Mueller matrix polarimetry with full Poincaré beams and a CCD camera." EPJ Web of Conferences 255 (2021): 12005. http://dx.doi.org/10.1051/epjconf/202125512005.

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Recently, the use of full Poincaré beams for extracting the Mueller matrix of a sample has been proposed. These beams present all possible polarization states across their transverse section. By placing a CCD camera behind a simple polarization analyzer formed by a quarter wave phase plate and a linear polarizer, a polarization map of the beam cross section can be obtained. This polarization map is modified when a sample is inserted before the polarization state analyzer. Comparison of these two polarization maps allows to obtain the Mueller matrix of the sample. An overdetermined system of linear equations (thousands of equations) can be written from this comparison. Standard mathematical methods are used to find optimum solution of this overdetermined system of equations. Some experimental results will be presented to check the performance of the proposed polarimetric method.
49

Xiang Guangfeng, 向光峰, 孟炳寰 Meng Binghuan, 李双 Li Shuang, 韩琳 Han Lin, 盛庭芮 Sheng Tingrui, 孙亮 Sun Liang, 骆冬根 Luo Donggen та 洪津 Hong Jin. "基于相对响应校正的多角度偏振成像仪几何定标精度提升方法". Acta Optica Sinica 42, № 12 (2022): 1208001. http://dx.doi.org/10.3788/aos202242.1208001.

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50

Li Wenjie, 李文杰, 王淑荣 Wang Shurong, 颜昌翔 Yan Changxiang та 丁宁 Ding Ning. "基于多角度偏振探测仪的经验正交函数气溶胶细粒子光学厚度反演算法". Laser & Optoelectronics Progress 60, № 9 (2023): 0901003. http://dx.doi.org/10.3788/lop221202.

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