Artigos de revistas sobre o tema "Hyperspectral signature"
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Papp, Adam, Julian Pegoraro, Daniel Bauer, Philip Taupe, Christoph Wiesmeyr e Andreas Kriechbaum-Zabini. "Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep Learning". Remote Sensing 12, n.º 13 (1 de julho de 2020): 2111. http://dx.doi.org/10.3390/rs12132111.
Texto completo da fonteWang, Jing. "Progressive coding for hyperspectral signature characterization". Optical Engineering 45, n.º 9 (1 de setembro de 2006): 097002. http://dx.doi.org/10.1117/1.2353113.
Texto completo da fonteGromov, V. P., L. I. Lebedev e V. E. Turlapov. "Analysis and object markup of hyperspectral images for machine learning methods". Information Technology and Nanotechnology, n.º 2391 (2019): 309–17. http://dx.doi.org/10.18287/1613-0073-2019-2391-309-317.
Texto completo da fonteHartfield, Kyle, Jeffrey K. Gillan, Cynthia L. Norton, Charles Conley e Willem J. D. van Leeuwen. "A Novel Spectral Index to Identify Cacti in the Sonoran Desert at Multiple Scales Using Multi-Sensor Hyperspectral Data Acquisitions". Land 11, n.º 6 (26 de maio de 2022): 786. http://dx.doi.org/10.3390/land11060786.
Texto completo da fonteChang, Chein-I., Sumit Chakravarty, Hsian-Min Chen e Yen-Chieh Ouyang. "Spectral derivative feature coding for hyperspectral signature analysis". Pattern Recognition 42, n.º 3 (março de 2009): 395–408. http://dx.doi.org/10.1016/j.patcog.2008.07.016.
Texto completo da fonteKim, Sungho, Jungho Kim, Jinyong Lee e Junmo Ahn. "AS-CRI: A New Metric of FTIR-Based Apparent Spectral-Contrast Radiant Intensity for Remote Thermal Signature Analysis". Remote Sensing 11, n.º 7 (1 de abril de 2019): 777. http://dx.doi.org/10.3390/rs11070777.
Texto completo da fonteMESSINGER, DAVID W., CARL SALVAGGIO e NATALIE M. SINISGALLI. "DETECTION OF GASEOUS EFFLUENTS FROM AIRBORNE LWIR HYPERSPECTRAL IMAGERY USING PHYSICS-BASED SIGNATURES". International Journal of High Speed Electronics and Systems 17, n.º 04 (dezembro de 2007): 801–12. http://dx.doi.org/10.1142/s0129156407004990.
Texto completo da fonteHonkavaara, E., T. Hakala, O. Nevalainen, N. Viljanen, T. Rosnell, E. Khoramshahi, R. Näsi, R. Oliveira e A. Tommaselli. "GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (17 de junho de 2016): 77–82. http://dx.doi.org/10.5194/isprs-archives-xli-b7-77-2016.
Texto completo da fonteHonkavaara, E., T. Hakala, O. Nevalainen, N. Viljanen, T. Rosnell, E. Khoramshahi, R. Näsi, R. Oliveira e A. Tommaselli. "GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (17 de junho de 2016): 77–82. http://dx.doi.org/10.5194/isprsarchives-xli-b7-77-2016.
Texto completo da fonteMiljković, V., e D. Gajski. "ADAPTATION OF INDUSTRIAL HYPERSPECTRAL LINE SCANNER FOR ARCHAEOLOGICAL APPLICATIONS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (15 de junho de 2016): 343–45. http://dx.doi.org/10.5194/isprs-archives-xli-b5-343-2016.
Texto completo da fonteMiljković, V., e D. Gajski. "ADAPTATION OF INDUSTRIAL HYPERSPECTRAL LINE SCANNER FOR ARCHAEOLOGICAL APPLICATIONS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (15 de junho de 2016): 343–45. http://dx.doi.org/10.5194/isprsarchives-xli-b5-343-2016.
Texto completo da fonteUrbina Ortega, Carlos, Eduardo Quevedo Gutiérrez, Laura Quintana, Samuel Ortega, Himar Fabelo, Lucana Santos Falcón e Gustavo Marrero Callico. "Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples". Sensors 23, n.º 4 (7 de fevereiro de 2023): 1863. http://dx.doi.org/10.3390/s23041863.
Texto completo da fonteKhoshsokhan, S., R. Rajabi e H. Zayyani. "DISTRIBUTED UNMIXING OF HYPERSPECTRAL DATAWITH SPARSITY CONSTRAINT". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W4 (26 de setembro de 2017): 145–50. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w4-145-2017.
Texto completo da fontePervez, W., S. A. Khan e Valiuddin. "HYPERSPECTRAL HYPERION IMAGERY ANALYSIS AND ITS APPLICATION USING SPECTRAL ANALYSIS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W2 (10 de março de 2015): 169–75. http://dx.doi.org/10.5194/isprsarchives-xl-3-w2-169-2015.
Texto completo da fonteChein-I Chang. "Target signature-constrained mixed pixel classification for hyperspectral imagery". IEEE Transactions on Geoscience and Remote Sensing 40, n.º 5 (maio de 2002): 1065–81. http://dx.doi.org/10.1109/tgrs.2002.1010894.
Texto completo da fonteWang, Su, Chuin-Mu Wang, Mann-Li Chang, Ching-Tsorng Tsai e Chein-I. Chang. "Applications of Kalman Filtering to Single Hyperspectral Signature Analysis". IEEE Sensors Journal 10, n.º 3 (março de 2010): 547–63. http://dx.doi.org/10.1109/jsen.2009.2038546.
Texto completo da fonteLicciardi, Giorgio, Costantino Del Gaudio e Jocelyn Chanussot. "Non-Linear Spectral Unmixing for the Estimation of the Distribution of Graphene Oxide Deposition on 3D Printed Composites". Applied Sciences 10, n.º 21 (3 de novembro de 2020): 7792. http://dx.doi.org/10.3390/app10217792.
Texto completo da fonteEl-Sharkawy, Yasser H., Sherif Elbasuney, Sara M. Radwan, Mostafa A. Askar e Gharieb S. El-Sayyad. "Total RNA nonlinear polarization: towards facile early diagnosis of breast cancer". RSC Advances 11, n.º 53 (2021): 33319–25. http://dx.doi.org/10.1039/d1ra05599b.
Texto completo da fonteSrinivas, Umamahesh, Yi Chen, Vishal Monga, Nasser Nasrabadi e Trac Tran. "Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models". Geoscience and Remote Sensing Letters, IEEE 10, n.º 3 (novembro de 2012): 505–9. http://dx.doi.org/10.1109/lgrs.2012.2211858.
Texto completo da fonteSCHAUM, A. "ADVANCED HYPERSPECTRAL ALGORITHMS FOR TACTICAL TARGET DETECTION AND DISCRIMINATION". International Journal of High Speed Electronics and Systems 18, n.º 03 (setembro de 2008): 531–44. http://dx.doi.org/10.1142/s0129156408005540.
Texto completo da fonteMa, Pengfei, Jiaoli Li, Ying Zhuo, Pu Jiao e Genda Chen. "Coating Condition Detection and Assessment on the Steel Girder of a Bridge through Hyperspectral Imaging". Coatings 13, n.º 6 (29 de maio de 2023): 1008. http://dx.doi.org/10.3390/coatings13061008.
Texto completo da fonteDhole, Pravin V., Vijay D. Dhangar, Sulochana D. Shejul e Prof Bharti W. Gawali. "Machine Learning Approach for Spectral Signature Based Chemical Composition Analysis using Hyperspectral Data". International Journal for Research in Applied Science and Engineering Technology 11, n.º 10 (31 de outubro de 2023): 279–86. http://dx.doi.org/10.22214/ijraset.2023.55922.
Texto completo da fonteZhelezova, Sofia V., Elena V. Pakholkova, Vladislav E. Veller, Mikhail A. Voronov, Eugenia V. Stepanova, Alena D. Zhelezova, Anton V. Sonyushkin, Timur S. Zhuk e Alexey P. Glinushkin. "Hyperspectral Non-Imaging Measurements and Perceptron Neural Network for Pre-Harvesting Assessment of Damage Degree Caused by Septoria/Stagonospora Blotch Diseases of Wheat". Agronomy 13, n.º 4 (1 de abril de 2023): 1045. http://dx.doi.org/10.3390/agronomy13041045.
Texto completo da fonteChe’Ya, Nik Norasma, Nur Adibah Mohidem, Nor Athirah Roslin, Mohammadmehdi Saberioon, Mohammad Zakri Tarmidi, Jasmin Arif Shah, Wan Fazilah Fazlil Ilahi e Norsida Man. "Mobile Computing for Pest and Disease Management Using Spectral Signature Analysis: A Review". Agronomy 12, n.º 4 (16 de abril de 2022): 967. http://dx.doi.org/10.3390/agronomy12040967.
Texto completo da fonteJamaludin, Muhammad Ikhwan, Abdul Nasir Matori, Mohammad Faize Kholik e Munirah Mohd Mokhtar. "Development Spectral Library of Vegetation Stress for Hydrocarbon Seepage". Applied Mechanics and Materials 567 (junho de 2014): 693–98. http://dx.doi.org/10.4028/www.scientific.net/amm.567.693.
Texto completo da fonteYang, Zhonglin, Yanhua Cao, Shutian Liu, Camel Tanougast, Walter Blondel, Zhengjun Liu e Hang Chen. "A Novel Signature and Authentication Cryptosystem for Hyperspectral Image by Using Triangular Association Encryption Algorithm in Gyrator Domains". Applied Sciences 12, n.º 15 (29 de julho de 2022): 7649. http://dx.doi.org/10.3390/app12157649.
Texto completo da fonteYang, Shuyuan, Hongjing Zhou, Min Wang, Zhixi Feng e Licheng Jiao. "Fuzzy Signature-Based Discriminative Subspace Projection for Hyperspectral Data Classification". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, n.º 9 (setembro de 2016): 4196–202. http://dx.doi.org/10.1109/jstars.2015.2456102.
Texto completo da fonteSchaum, Alan. "Methods of Hyperspectral Detection Based on a Single Signature Sample". IEEE Sensors Journal 10, n.º 3 (março de 2010): 518–23. http://dx.doi.org/10.1109/jsen.2009.2038131.
Texto completo da fonteLebedev, L. I., Yu V. Yasakov, T. H. Utesheva, V. P. Gromov, A. V. Borusjak e V. E. Turlapov. "Complex analysis and monitoring of the environment based on earth sensing data". Computer Optics 43, n.º 2 (abril de 2019): 282–95. http://dx.doi.org/10.18287/2412-6179-2019-43-2-282-295.
Texto completo da fonteYueming Wang, Yueming Wang, Feng Xie Feng Xie e and Jianyu Wang and Jianyu Wang. "Short-wave infrared signature and detection of aicraft in flight based on space-borne hyperspectral imagery". Chinese Optics Letters 14, n.º 12 (2016): 122801–4. http://dx.doi.org/10.3788/col201614.122801.
Texto completo da fonteJIJÓN-PALMA, Mario Ernesto, Caisse AMISSE, Jaime Carlos MACUÁCUA e Jorge Antonio Silva CENTENO. "Noisy band selection based on the integration of the Stacked-Autoencoder and Convolutional Neural Network approaches for hyperspectral data." Geosciences = Geociências 42, n.º 2 (15 de setembro de 2023): 269–80. http://dx.doi.org/10.5016/geociencias.v42i2.16976.
Texto completo da fonteBacca, Jorge Luis, e Henry Arguello. "Sparse Subspace Clustering in Hyperspectral Images using Incomplete Pixels". TecnoLógicas 22, n.º 46 (20 de setembro de 2019): 1–14. http://dx.doi.org/10.22430/22565337.1205.
Texto completo da fonteOrozco, Jairo, Vidya Manian, Estefania Alfaro, Harkamal Walia e Balpreet K. Dhatt. "Graph Convolutional Network Using Adaptive Neighborhood Laplacian Matrix for Hyperspectral Images with Application to Rice Seed Image Classification". Sensors 23, n.º 7 (27 de março de 2023): 3515. http://dx.doi.org/10.3390/s23073515.
Texto completo da fonteBleszynski, Monika, Shaun Mann e Maciej Kumosa. "Visualizing Polymer Damage Using Hyperspectral Imaging". Polymers 12, n.º 9 (12 de setembro de 2020): 2071. http://dx.doi.org/10.3390/polym12092071.
Texto completo da fonteHu, Wei, Yangyu Huang, Li Wei, Fan Zhang e Hengchao Li. "Deep Convolutional Neural Networks for Hyperspectral Image Classification". Journal of Sensors 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/258619.
Texto completo da fonteJafari, Ali, Mohammad Ebadzadeh e Reza Safabakhsh. "MATERIAL SIGNATURE ORTHONORMAL MAPPING IN HYPERSPECTRAL UNMIXING TO ADDRESS ENDMEMBER VARIABILITY". Advances in Science and Technology Research Journal 10, n.º 29 (2016): 71–84. http://dx.doi.org/10.12913/22998624/61935.
Texto completo da fonteSchmidt, Johannes, Fabian Ewald Fassnacht, Angela Lausch e Sebastian Schmidtlein. "Assessing the functional signature of heathland landscapes via hyperspectral remote sensing". Ecological Indicators 73 (fevereiro de 2017): 505–12. http://dx.doi.org/10.1016/j.ecolind.2016.10.017.
Texto completo da fonteSaadi, R., M. Hasanlou e A. Safari. "CLASSIFIER FUSION OF POLSAR, HYPERSPECTRAL AND PAN REMOTE SENSING DATA FOR IMPROVING LAND USE CLASSIFICATION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (19 de outubro de 2019): 913–16. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-913-2019.
Texto completo da fonteSpiller, D., L. Ansalone, S. Amici, A. Piscini e P. P. Mathieu. "ANALYSIS AND DETECTION OF WILDFIRES BY USING PRISMA HYPERSPECTRAL IMAGERY". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (28 de junho de 2021): 215–22. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-215-2021.
Texto completo da fonteKashani, Amir H., Mark Wong, Nicole Koulisis, Chein-I. Chang, Gabriel Martin e Mark S. Humayun. "Hyperspectral imaging of retinal microvascular anatomy". Journal of Biomedical Engineering and Informatics 2, n.º 1 (22 de novembro de 2015): 139. http://dx.doi.org/10.5430/jbei.v2n1p139.
Texto completo da fonteCapelle, Sonja K., e Stephen A. Macko. "Finding the Spectral Signature of 15Nitrogen Isotopes in Plants by Hyperspectral Techniques". Journal of Remote Sensing Technology 4, n.º 1 (31 de dezembro de 2016): 115–20. http://dx.doi.org/10.18005/jrst0401009.
Texto completo da fonteManna, B., B. Samanta, D. Chakravarty, D. Dutta, A. Chowdhury, A. Santra e A. Banerjee. "Hyperspectral signature analysis using neural network for grade estimation of copper ore". IOP Conference Series: Earth and Environmental Science 169 (31 de julho de 2018): 012108. http://dx.doi.org/10.1088/1755-1315/169/1/012108.
Texto completo da fonteLazzeri, Giacomo, William Frodella, Guglielmo Rossi e Sandro Moretti. "Multitemporal Mapping of Post-Fire Land Cover Using Multiplatform PRISMA Hyperspectral and Sentinel-UAV Multispectral Data: Insights from Case Studies in Portugal and Italy". Sensors 21, n.º 12 (9 de junho de 2021): 3982. http://dx.doi.org/10.3390/s21123982.
Texto completo da fonteMa, Chen, Junjun Jiang, Huayi Li, Xiaoguang Mei e Chengchao Bai. "Hyperspectral Image Classification via Spectral Pooling and Hybrid Transformer". Remote Sensing 14, n.º 19 (21 de setembro de 2022): 4732. http://dx.doi.org/10.3390/rs14194732.
Texto completo da fonteChristilda, A. Josephine, e R. Manoharan. "Accuracy Measurement of Hyperspectral Image Classification in Remote Sensing with the Light Spectrum-based Affinity Propagation Clustering-based Segmentation". International Journal of Electrical and Electronics Research 12, n.º 1 (20 de janeiro de 2024): 28–35. http://dx.doi.org/10.37391/ijeer.120105.
Texto completo da fonteCohen, Yuval, Yitzhak August, Dan G. Blumberg e Stanley R. Rotman. "Evaluating Subpixel Target Detection Algorithms in Hyperspectral Imagery". Journal of Electrical and Computer Engineering 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/103286.
Texto completo da fonteBilius, Laura Bianca, e Ştefan Gheorghe Pentiuc. "Efficient Unsupervised Classification of Hyperspectral Images Using Voronoi Diagrams and Strong Patterns". Sensors 20, n.º 19 (5 de outubro de 2020): 5684. http://dx.doi.org/10.3390/s20195684.
Texto completo da fonteGeipel, J., e A. Korsaeth. "Hyperspectral Aerial Imaging for Grassland Yield Estimation". Advances in Animal Biosciences 8, n.º 2 (1 de junho de 2017): 770–75. http://dx.doi.org/10.1017/s2040470017000619.
Texto completo da fonteGouisset, E., G. Rioland, F. Bourcier, D. Faye, P. Walter e F. Infante. "Detection and characterization of contamination with fluorescence spectroscopy". IOP Conference Series: Materials Science and Engineering 1287, n.º 1 (1 de agosto de 2023): 012025. http://dx.doi.org/10.1088/1757-899x/1287/1/012025.
Texto completo da fonteSerrano, Jorge, José Fábrega, Evelyn Quirós, Javier Sánchez Galán e José Ulises Jiménez. "Análisis Prospectivo de la Detección Hiperespectral de Cultivos de Arroz (Oryza Sativa L.)". KnE Engineering 3, n.º 1 (11 de fevereiro de 2018): 69. http://dx.doi.org/10.18502/keg.v3i1.1414.
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