Artigos de revistas sobre o tema "Hyper-(multi-)spectral"
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Pande, H., Poonam S. Tiwari e Shashi Dobhal. "Analyzing hyper-spectral and multi-spectral data fusion in spectral domain". Journal of the Indian Society of Remote Sensing 37, n.º 3 (setembro de 2009): 395–408. http://dx.doi.org/10.1007/s12524-009-0038-2.
Texto completo da fonteZhu, Siqi, Kang Su, Migao Li, Zhenqiang Chen, Hao Yin e Zhen Li. "Multi-type hyper-spectral microscopic imaging system". Optik 127, n.º 18 (setembro de 2016): 7218–24. http://dx.doi.org/10.1016/j.ijleo.2016.05.053.
Texto completo da fonteDaigo, M., A. Ono†, R. Urabe‡ e N. Fujiwara. "Pattern decomposition method for hyper-multi-spectral data analysis". International Journal of Remote Sensing 25, n.º 6 (março de 2004): 1153–66. http://dx.doi.org/10.1080/0143116031000139872.
Texto completo da fonteChatoux, Hermine, Noël Richard e Bruno Mercier. "Colour key-point detection". London Imaging Meeting 2020, n.º 1 (29 de setembro de 2020): 114–18. http://dx.doi.org/10.2352/issn.2694-118x.2020.lim-02.
Texto completo da fonteYoshikawa, H., M. Murahashi, M. Saito, S. Jiang, M. Iga e E. Tamiya. "Parallelized label-free detection of protein interactions using a hyper-spectral imaging system". Analytical Methods 7, n.º 12 (2015): 5157–61. http://dx.doi.org/10.1039/c5ay00738k.
Texto completo da fonteAwad, Mohamad M., e Marco Lauteri. "Self-Organizing Deep Learning (SO-UNet)—A Novel Framework to Classify Urban and Peri-Urban Forests". Sustainability 13, n.º 10 (16 de maio de 2021): 5548. http://dx.doi.org/10.3390/su13105548.
Texto completo da fonteMancini, Adriano, Emanuele Frontoni e Primo Zingaretti. "Challenges of multi/hyper spectral images in precision agriculture applications". IOP Conference Series: Earth and Environmental Science 275 (21 de maio de 2019): 012001. http://dx.doi.org/10.1088/1755-1315/275/1/012001.
Texto completo da fonteSun, Li-wei, Xin Ye, Wei Fang, Zhen-lei He, Xiao-long Yi e Yu-peng Wang. "Radiometric calibration of hyper-spectral imaging spectrometer based on optimizing multi-spectral band selection". Optoelectronics Letters 13, n.º 6 (novembro de 2017): 405–8. http://dx.doi.org/10.1007/s11801-017-7174-7.
Texto completo da fonteLi, Jin, e Zilong Liu. "Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition". Open Physics 15, n.º 1 (29 de dezembro de 2017): 992–96. http://dx.doi.org/10.1515/phys-2017-0123.
Texto completo da fonteArchambault, L., F. Theriault Proulx, S. Beddar e L. Beaulieu. "PO-0807 FORMALISM FOR HYPER-SPECTRAL, MULTI-POINT, PLASTIC SCINTILLATION DETECTORS". Radiotherapy and Oncology 103 (maio de 2012): S313—S314. http://dx.doi.org/10.1016/s0167-8140(12)71140-4.
Texto completo da fonteZhang, Canting, Xicun Zhu, Meixuan Li, Yuliang Xue, Anran Qin, Guining Gao, Mengxia Wang e Yuanmao Jiang. "Utilization of the Fusion of Ground-Space Remote Sensing Data for Canopy Nitrogen Content Inversion in Apple Orchards". Horticulturae 9, n.º 10 (29 de setembro de 2023): 1085. http://dx.doi.org/10.3390/horticulturae9101085.
Texto completo da fonteZHANG, Yuanfei, Zian YANG, Pubin ZHANG, Feifei SHI e Jianguo ZHANG. "Research on Background-Anomaly Sub-space Model of Hyper (Multi-) spectral Data". Geo-information Science 11, n.º 3 (25 de junho de 2010): 282–91. http://dx.doi.org/10.3724/sp.j.1047.2009.00282.
Texto completo da fonteTANG Yan-hui, 唐艳慧, 赵鹏 ZHAO Peng e 王承琨 WANG Cheng-kun. "Texture classification algorithm of wood hyper-spectral image based on multi-fractal spectra". Chinese Journal of Liquid Crystals and Displays 34, n.º 12 (2019): 1182–90. http://dx.doi.org/10.3788/yjyxs20193412.1182.
Texto completo da fonteEsposito, Alessandro, Simon Schlachter, Arjen N. Bader, Lucio Pancheri, David Stoppa, Ashok R. Venkitaraman, Clemens F. Kaminski e Hans C. Gerritsen. "Multiplexed Measurement of Molecular Interactions using Hyper-Spectral Imaging and Multi-Parametric Detection". Biophysical Journal 98, n.º 3 (janeiro de 2010): 761a. http://dx.doi.org/10.1016/j.bpj.2009.12.4179.
Texto completo da fonteDyson, Jack, Adriano Mancini, Emanuele Frontoni e Primo Zingaretti. "Deep Learning for Soil and Crop Segmentation from Remotely Sensed Data". Remote Sensing 11, n.º 16 (9 de agosto de 2019): 1859. http://dx.doi.org/10.3390/rs11161859.
Texto completo da fonteMoshou, D., C. Bravo, R. Oberti, J. West, L. Bodria, A. McCartney e H. Ramon. "Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps". Real-Time Imaging 11, n.º 2 (abril de 2005): 75–83. http://dx.doi.org/10.1016/j.rti.2005.03.003.
Texto completo da fonteAiazzi, B., P. Alba, L. Alparone e S. Baronti. "Lossless compression of multi/hyper-spectral imagery based on a 3-D fuzzy prediction". IEEE Transactions on Geoscience and Remote Sensing 37, n.º 5 (1999): 2287–94. http://dx.doi.org/10.1109/36.789625.
Texto completo da fonteImanian, A., M. H. Tangestani e A. Asadi. "INVESTIGATION OF SPECTRAL CHARACTERISTICS OF CARBONATE ROCKS – A CASE STUDY ON POSHT MOLEH MOUNT IN IRAN". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (18 de outubro de 2019): 553–57. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-553-2019.
Texto completo da fonteMr. B. Naga Rajesh. "Effective Morphological Transformation and Sub-pixel Classification of Clustered Images". International Journal of New Practices in Management and Engineering 8, n.º 01 (31 de março de 2019): 08–14. http://dx.doi.org/10.17762/ijnpme.v8i01.74.
Texto completo da fonteMvodo Martin Paulin, Zanga, Koko Same Louis Christian e Essiben Dikoundou Jean-François. "Linear precoder optimization of spectral efficiency of time division duplex hyper MIMO system with pilot contamination". Indonesian Journal of Electrical Engineering and Computer Science 29, n.º 3 (1 de março de 2023): 1520. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1520-1528.
Texto completo da fonteZhao, Xin, e Xing Li. "Band Selection Oriented to Easy-Confused Objects for Classification of Hyperspectral Imagery". Key Engineering Materials 500 (janeiro de 2012): 355–61. http://dx.doi.org/10.4028/www.scientific.net/kem.500.355.
Texto completo da fonteMarchal, Antoine, Marc-Antoine Miville-Deschênes, François Orieux, Nicolas Gac, Charles Soussen, Marie-Jeanne Lesot, Adrien Revault d’Allonnes e Quentin Salomé. "ROHSA: Regularized Optimization for Hyper-Spectral Analysis". Astronomy & Astrophysics 626 (junho de 2019): A101. http://dx.doi.org/10.1051/0004-6361/201935335.
Texto completo da fonteEl-Habashi, Ahmed, Jeffrey Bowles, Robert Foster, Deric Gray e Malik Chami. "Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager". Journal of Quantitative Spectroscopy and Radiative Transfer 262 (março de 2021): 107515. http://dx.doi.org/10.1016/j.jqsrt.2021.107515.
Texto completo da fonteBorfecchia, Flavio, Carla Micheli, Luigi De Cecco, Gianmaria Sannino, Maria Vittoria Struglia, Alcide Giorgio Di Sarra, Carlo Gomez e Giuliana Mattiazzo. "Satellite Multi/Hyper Spectral HR Sensors for Mapping the Posidonia oceanica in South Mediterranean Islands". Sustainability 13, n.º 24 (12 de dezembro de 2021): 13715. http://dx.doi.org/10.3390/su132413715.
Texto completo da fonteSarkar, Soham, Swagatam Das e Sheli Sinha Chaudhuri. "Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution". Expert Systems with Applications 50 (maio de 2016): 120–29. http://dx.doi.org/10.1016/j.eswa.2015.11.016.
Texto completo da fonteZhou, Jing, Biwen Wang, Jiahao Fan, Yuchi Ma, Yi Wang e Zhou Zhang. "A Systematic Study of Estimating Potato N Concentrations Using UAV-Based Hyper- and Multi-Spectral Imagery". Agronomy 12, n.º 10 (17 de outubro de 2022): 2533. http://dx.doi.org/10.3390/agronomy12102533.
Texto completo da fonteSun, Y., Y. Lin, X. Hu, S. Zhao, S. Liu, Q. Tong, D. Helder e L. Yan. "THE STUDY OF SPECTRUM RECONSTRUCTION BASED ON FUZZY SET FULL CONSTRAINT AND MULTIENDMEMBER DECOMPOSITION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (12 de setembro de 2017): 551–55. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-551-2017.
Texto completo da fonteYang, Geng, Qin Li, Yu Yun, Yu Lei e Jane You. "Hypergraph Learning-Based Semi-Supervised Multi-View Spectral Clustering". Electronics 12, n.º 19 (29 de setembro de 2023): 4083. http://dx.doi.org/10.3390/electronics12194083.
Texto completo da fonteWei, Xing, Jinnuo Zhang, Anna O. Conrad, Charles E. Flower, Cornelia C. Pinchot, Nancy Hayes-Plazolles, Ziling Chen, Zhihang Song, Songlin Fei e Jian Jin. "Machine learning-based spectral and spatial analysis of hyper- and multi-spectral leaf images for Dutch elm disease detection and resistance screening". Artificial Intelligence in Agriculture 10 (dezembro de 2023): 26–34. http://dx.doi.org/10.1016/j.aiia.2023.09.003.
Texto completo da fonteSteddom, K., G. Heidel, D. Jones e C. M. Rush. "Remote Detection of Rhizomania in Sugar Beets". Phytopathology® 93, n.º 6 (junho de 2003): 720–26. http://dx.doi.org/10.1094/phyto.2003.93.6.720.
Texto completo da fonteZhang, L., Y. Zhong, B. Huang e P. Li. "A resource limited artificial immune system algorithm for supervised classification of multi/hyper‐spectral remote sensing imagery". International Journal of Remote Sensing 28, n.º 7 (abril de 2007): 1665–86. http://dx.doi.org/10.1080/01431160600675903.
Texto completo da fonteKalidindi, Kishore Raju, Pardha Saradhi Varma Gottumukkala e Rajyalakshmi Davuluri. "Derivative-based band clustering and multi-agent PSO optimization for optimal band selection of hyper-spectral images". Journal of Supercomputing 76, n.º 8 (12 de novembro de 2019): 5873–98. http://dx.doi.org/10.1007/s11227-019-03058-3.
Texto completo da fonteXie, Busheng, Lixin Wu, Wenfei Mao, Shengyu Zhou e Shanjun Liu. "An Open Integrated Rock Spectral Library (RockSL) for a Global Sharing and Matching Service". Minerals 12, n.º 2 (20 de janeiro de 2022): 118. http://dx.doi.org/10.3390/min12020118.
Texto completo da fonteLeroux, Denis, Florian Alonso, Tanguy Coent, Maeva Garros, Régis Montvernay, Yann Le Bihan e Corine Fulchiron. "Multispectral imaging for pathogen identification using a filter wheel and smartphone: A frugal innovation approach". EPJ Web of Conferences 287 (2023): 03017. http://dx.doi.org/10.1051/epjconf/202328703017.
Texto completo da fontePalleschi, Vincenzo, Luciano Marras e Maria Angela Turchetti. "Interesting Features Finder: A New Approach to Multispectral Image Analysis". Heritage 5, n.º 4 (11 de dezembro de 2022): 4089–99. http://dx.doi.org/10.3390/heritage5040211.
Texto completo da fontePhinn, Stuart, Chris Roelfsema, Arnold Dekker, Vittoro Brando e Janet Anstee. "Mapping seagrass species, cover and biomass in shallow waters: An assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia)". Remote Sensing of Environment 112, n.º 8 (agosto de 2008): 3413–25. http://dx.doi.org/10.1016/j.rse.2007.09.017.
Texto completo da fonteMirzaie, M., R. Darvishzadeh, A. Shakiba, A. A. Matkan, C. Atzberger e A. Skidmore. "Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements". International Journal of Applied Earth Observation and Geoinformation 26 (fevereiro de 2014): 1–11. http://dx.doi.org/10.1016/j.jag.2013.04.004.
Texto completo da fonteAdamopoulos, Efstathios, e Fulvio Rinaudo. "UAS-Based Archaeological Remote Sensing: Review, Meta-Analysis and State-of-the-Art". Drones 4, n.º 3 (19 de agosto de 2020): 46. http://dx.doi.org/10.3390/drones4030046.
Texto completo da fonteMalinee, Rachane, Dimitris Stratoulias e Narissara Nuthammachot. "Detection of Oil Palm Disease in Plantations in Krabi Province, Thailand with High Spatial Resolution Satellite Imagery". Agriculture 11, n.º 3 (16 de março de 2021): 251. http://dx.doi.org/10.3390/agriculture11030251.
Texto completo da fonteTan, Fei, Xiaoming Mo, Shiwei Ruan, Tianying Yan, Peng Xing, Pan Gao, Wei Xu et al. "Combining Vis-NIR and NIR Spectral Imaging Techniques with Data Fusion for Rapid and Nondestructive Multi-Quality Detection of Cherry Tomatoes". Foods 12, n.º 19 (28 de setembro de 2023): 3621. http://dx.doi.org/10.3390/foods12193621.
Texto completo da fonteLaureti, Stefano, Hamed Malekmohammadi, Muhammad Khalid Rizwan, Pietro Burrascano, Stefano Sfarra, Miranda Mostacci e Marco Ricci. "Looking Through Paintings by Combining Hyper-Spectral Imaging and Pulse-Compression Thermography". Sensors 19, n.º 19 (8 de outubro de 2019): 4335. http://dx.doi.org/10.3390/s19194335.
Texto completo da fonteJohn, C. M., e N. Kavya. "Integration of multispectral satellite and hyperspectral field data for aquatic macrophyte studies". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (28 de novembro de 2014): 581–88. http://dx.doi.org/10.5194/isprsarchives-xl-8-581-2014.
Texto completo da fonteGao, Meng, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Brian Cairns, Xiaoguang Xu e J. Vanderlei Martins. "The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color". Atmospheric Measurement Techniques 16, n.º 8 (19 de abril de 2023): 2067–87. http://dx.doi.org/10.5194/amt-16-2067-2023.
Texto completo da fonteBernhardt, V., A. Grumpe e C. Wöhler. "SPECTRAL UNMIXING BASED CONSTRUCTION OF LUNAR MINERAL ABUNDANCE MAPS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W1 (25 de julho de 2017): 7–14. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w1-7-2017.
Texto completo da fonteSun, Changli, e Jiangang Lu. "Effect of Sectional Polymerization Process on Tunable Twist Structure Liquid Crystal Filters". Crystals 9, n.º 5 (23 de maio de 2019): 268. http://dx.doi.org/10.3390/cryst9050268.
Texto completo da fonteLane, David W., Antony Nyombi e James Shackel. "Energy-dispersive X-ray diffraction mapping on a benchtop X-ray fluorescence system". Journal of Applied Crystallography 47, n.º 2 (22 de fevereiro de 2014): 488–94. http://dx.doi.org/10.1107/s1600576714000314.
Texto completo da fonteHan, Xian-Hua, Yongqing Sun, Jian Wang, Boxin Shi, Yinqiang Zheng e Yen-Wei Chen. "Spectral Representation via Data-Guided Sparsity for Hyperspectral Image Super-Resolution". Sensors 19, n.º 24 (7 de dezembro de 2019): 5401. http://dx.doi.org/10.3390/s19245401.
Texto completo da fonteOlivetti, Diogo, Rejane Cicerelli, Jean-Michel Martinez, Tati Almeida, Raphael Casari, Henrique Borges e Henrique Roig. "Comparing Unmanned Aerial Multispectral and Hyperspectral Imagery for Harmful Algal Bloom Monitoring in Artificial Ponds Used for Fish Farming". Drones 7, n.º 7 (21 de junho de 2023): 410. http://dx.doi.org/10.3390/drones7070410.
Texto completo da fonteKim, Jonghyun, Kyeonghoon Jeong e Moon Gi Kang. "Crosstalk Correction for Color Filter Array Image Sensors Based on Lp-Regularized Multi-Channel Deconvolution". Sensors 22, n.º 11 (4 de junho de 2022): 4285. http://dx.doi.org/10.3390/s22114285.
Texto completo da fonteZhang, Zhengxin, e Lixue Zhu. "A Review on Unmanned Aerial Vehicle Remote Sensing: Platforms, Sensors, Data Processing Methods, and Applications". Drones 7, n.º 6 (15 de junho de 2023): 398. http://dx.doi.org/10.3390/drones7060398.
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