Artigos de revistas sobre o tema "Multitemporal processing"
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Sabrina, Rahma Nafila Fitri, e Sudaryatno Sudaryatno. "MULTITEMPORAL ANALYSIS FOR TROPHIC STATE MAPPING IN BATUR LAKE AT BALI PROVINCE BASED ON HIGH-RESOLUTION PLANETSCOPE IMAGERY". International Journal of Remote Sensing and Earth Sciences (IJReSES) 17, n.º 2 (24 de março de 2021): 149. http://dx.doi.org/10.30536/j.ijreses.2020.v17.a3381.
Texto completo da fonteShu, Chang, e Lihui Sun. "Automatic target recognition method for multitemporal remote sensing image". Open Physics 18, n.º 1 (5 de junho de 2020): 170–81. http://dx.doi.org/10.1515/phys-2020-0015.
Texto completo da fonteEsmaeili, Mostafa, Mahdi Motagh e Andy Hooper. "Application of Dual-Polarimetry SAR Images in Multitemporal InSAR Processing". IEEE Geoscience and Remote Sensing Letters 14, n.º 9 (setembro de 2017): 1489–93. http://dx.doi.org/10.1109/lgrs.2017.2717846.
Texto completo da fontePavelka, Karel, Paulina Raeva e Karel Pavelka. "Evaluating the Performance of Airborne and Ground Sensors for Applications in Precision Agriculture: Enhancing the Postprocessing State-of-the-Art Algorithm". Sensors 22, n.º 19 (10 de outubro de 2022): 7693. http://dx.doi.org/10.3390/s22197693.
Texto completo da fonteMa, Xiaoshuang, e Penghai Wu. "Multitemporal SAR Image Despeckling Based on a Scattering Covariance Matrix of Image Patch". Sensors 19, n.º 14 (11 de julho de 2019): 3057. http://dx.doi.org/10.3390/s19143057.
Texto completo da fonteSefrin, Oliver, Felix M. Riese e Sina Keller. "Deep Learning for Land Cover Change Detection". Remote Sensing 13, n.º 1 (28 de dezembro de 2020): 78. http://dx.doi.org/10.3390/rs13010078.
Texto completo da fonteKim, Taeheon, e Youkyung Han. "Integrated Preprocessing of Multitemporal Very-High-Resolution Satellite Images via Conjugate Points-Based Pseudo-Invariant Feature Extraction". Remote Sensing 13, n.º 19 (6 de outubro de 2021): 3990. http://dx.doi.org/10.3390/rs13193990.
Texto completo da fonteLiu, Bin, Zhengyu Yang, Jiaqing Wu e Jie Gu. "OLAP analysis of user energy consumption based on multitemporal distribution characteristics". Journal of Physics: Conference Series 2290, n.º 1 (1 de junho de 2022): 012045. http://dx.doi.org/10.1088/1742-6596/2290/1/012045.
Texto completo da fonteAmitrano, Donato, Raffaella Guida e Giuseppe Ruello. "Multitemporal SAR RGB Processing for Sentinel-1 GRD Products: Methodology and Applications". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12, n.º 5 (maio de 2019): 1497–507. http://dx.doi.org/10.1109/jstars.2019.2904035.
Texto completo da fonteDubois, C., F. Stoffner, A. C. Kalia, M. Sandner, M. Labiadh e M. Mimouni. "COPERNICUS SENTINEL-2 DATA FOR THE DETERMINATION OF GROUNDWATER WITHDRAWAL IN THE MAGHREB REGION". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1 (26 de setembro de 2018): 37–44. http://dx.doi.org/10.5194/isprs-annals-iv-1-37-2018.
Texto completo da fonteZhang, Kaiyu, Xikai Fu, Xiaolei Lv e Jili Yuan. "Unsupervised Multitemporal Building Change Detection Framework Based on Cosegmentation Using Time-Series SAR". Remote Sensing 13, n.º 3 (29 de janeiro de 2021): 471. http://dx.doi.org/10.3390/rs13030471.
Texto completo da fonteDroin, Ariane, Wolfgang Sulzer e Matthias Wecht. "The generation of a swimming pool cadastre for Graz (1945–2015)". Journal for Geography 11, n.º 2 (31 de dezembro de 2016): 71–80. http://dx.doi.org/10.18690/rg.11.2.3979.
Texto completo da fonteTaraben, Jakob, e Guido Morgenthal. "Integration and Comparison Methods for Multitemporal Image-Based 2D Annotations in Linked 3D Building Documentation". Remote Sensing 14, n.º 9 (9 de maio de 2022): 2286. http://dx.doi.org/10.3390/rs14092286.
Texto completo da fonteParker, J. Anthony, Robert V. Kenyon e Lwarence R. Young. "Measurement of Torsion from Multitemporal Images of the Eye Using Digital Signal Processing Techniques". IEEE Transactions on Biomedical Engineering BME-32, n.º 1 (janeiro de 1985): 28–36. http://dx.doi.org/10.1109/tbme.1985.325613.
Texto completo da fonteCoppin, P. R., e M. E. Bauer. "Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features". IEEE Transactions on Geoscience and Remote Sensing 32, n.º 4 (julho de 1994): 918–27. http://dx.doi.org/10.1109/36.298020.
Texto completo da fonteLin, Yang, Hu Yang, Wu Weihong, Sheng Yehua e Jia Xin. "Processing of Multitemporal 3D Point Cloud Data for Use in Reconstructing Historical Geographic Scenarios". Sensors and Materials 34, n.º 12 (21 de dezembro de 2022): 4551. http://dx.doi.org/10.18494/sam4128.
Texto completo da fonteJung, Minyoung, e Jinha Jung. "A Scalable Method to Improve Large-Scale Lidar Topographic Differencing Results". Remote Sensing 15, n.º 17 (31 de agosto de 2023): 4289. http://dx.doi.org/10.3390/rs15174289.
Texto completo da fonteKandylakis, Z., e K. Karantzalos. "PRECISION VITICULTURE FROM MULTITEMPORAL, MULTISPECTRAL VERY HIGH RESOLUTION SATELLITE DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (23 de junho de 2016): 919–25. http://dx.doi.org/10.5194/isprs-archives-xli-b8-919-2016.
Texto completo da fonteKandylakis, Z., e K. Karantzalos. "PRECISION VITICULTURE FROM MULTITEMPORAL, MULTISPECTRAL VERY HIGH RESOLUTION SATELLITE DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (23 de junho de 2016): 919–25. http://dx.doi.org/10.5194/isprsarchives-xli-b8-919-2016.
Texto completo da fonteScott, Chelsea, Minh Phan, Viswanath Nandigam, Christopher Crosby e J. Ramon Arrowsmith. "Measuring change at Earth’s surface: On-demand vertical and three-dimensional topographic differencing implemented in OpenTopography". Geosphere 17, n.º 4 (14 de maio de 2021): 1318–32. http://dx.doi.org/10.1130/ges02259.1.
Texto completo da fonteZhang, Yi, Yuanxi Li, Xingmin Meng, Wangcai Liu, Aijie Wang, Yiwen Liang, Xiaojun Su, Runqiang Zeng e Xu Chen. "Automatic Mapping of Potential Landslides Using Satellite Multitemporal Interferometry". Remote Sensing 15, n.º 20 (13 de outubro de 2023): 4951. http://dx.doi.org/10.3390/rs15204951.
Texto completo da fonteSunarmodo, Wismu, e Anis Kamilah Hayati. "CLOUD IDENTIFICATION FROM MULTITEMPORAL LANDSAT-8 USING K-MEANS CLUSTERING". International Journal of Remote Sensing and Earth Sciences (IJReSES) 16, n.º 2 (30 de abril de 2020): 157. http://dx.doi.org/10.30536/j.ijreses.2019.v16.a3285.
Texto completo da fonteCandido, C. G., A. C. Blanco, N. J. B. Borlongan e R. M. de la Cruz. "MULTISOURCE AND MULTITEMPORAL LAND COVER MAPPING OF GREATER LUZON ISLAND USING GOOGLE EARTH ENGINE". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W8-2023 (24 de abril de 2024): 93–99. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w8-2023-93-2024.
Texto completo da fonteDi Giacomo, Giacomo, e Giuseppe Scardozzi. "Multitemporal High-Resolution Satellite Images for the Study and Monitoring of an Ancient Mesopotamian City and its Surrounding Landscape: The Case of Ur". International Journal of Geophysics 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/716296.
Texto completo da fonteSlesinski, Jakub, Damian Wierzbicki e Michal Kedzierski. "Application of Multitemporal Change Detection in Radar Satellite Imagery Using REACTIV-Based Method for Geospatial Intelligence". Sensors 23, n.º 10 (19 de maio de 2023): 4922. http://dx.doi.org/10.3390/s23104922.
Texto completo da fonteLiu, Sicong, Francesca Bovolo, Lorenzo Bruzzone, Xiaohua Tong e Qian Du. "Editorial Foreword to the Special Issue on Recent Advances in Multitemporal Remote-Sensing Data Processing". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (2022): 776–78. http://dx.doi.org/10.1109/jstars.2022.3140594.
Texto completo da fonteFornaro, Gianfranco, Simona Verde, Diego Reale e Antonio Pauciullo. "CAESAR: An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline–Multitemporal Interferometric SAR Processing". IEEE Transactions on Geoscience and Remote Sensing 53, n.º 4 (abril de 2015): 2050–65. http://dx.doi.org/10.1109/tgrs.2014.2352853.
Texto completo da fonteBektas, F., e C. Goksel. "Remote sensing and GIS integration for land cover analysis, a case study: Bozcaada Island". Water Science and Technology 51, n.º 11 (1 de junho de 2005): 239–44. http://dx.doi.org/10.2166/wst.2005.0411.
Texto completo da fonteTakahashi Miyoshi, Gabriela, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, Marcus Vinícius Antunes de Moraes e Eija Honkavaara. "Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest". Remote Sensing 12, n.º 2 (10 de janeiro de 2020): 244. http://dx.doi.org/10.3390/rs12020244.
Texto completo da fontePanuju, Dyah R., David J. Paull e Amy L. Griffin. "Change Detection Techniques Based on Multispectral Images for Investigating Land Cover Dynamics". Remote Sensing 12, n.º 11 (1 de junho de 2020): 1781. http://dx.doi.org/10.3390/rs12111781.
Texto completo da fonteLopes, Danilo de Sousa, Rodrigo Affonso de Albuquerque Nóbrega e Diego Rodrigues Macedo. "Towards a Robust Approach for Multitemporal Landcover Dataset: 3 Decades of Landcover Changes in Piauí, Brazil". Revista Brasileira de Cartografia 74, n.º 1 (2 de fevereiro de 2022): 197–213. http://dx.doi.org/10.14393/rbcv74n1-62751.
Texto completo da fonteMarkelin, L., E. Honkavaara, R. Näsi, N. Viljanen, T. Rosnell, T. Hakala, M. Vastaranta, T. Koivisto e M. Holopainen. "RADIOMETRIC CORRECTION OF MULTITEMPORAL HYPERSPECTRAL UAS IMAGE MOSAICS OF SEEDLING STANDS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3 (19 de outubro de 2017): 113–18. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w3-113-2017.
Texto completo da fonteTrevisiol, Francesca, Ester Barbieri e Gabriele Bitelli. "Multitemporal Thermal Imagery Acquisition and Data Processing on Historical Masonry: Experimental Application on a Case Study". Sustainability 14, n.º 17 (24 de agosto de 2022): 10559. http://dx.doi.org/10.3390/su141710559.
Texto completo da fonteLombardo, P., e T. M. Pellizzeri. "Maximum likelihood signal processing techniques to detect a step pattern of change in multitemporal SAR images". IEEE Transactions on Geoscience and Remote Sensing 40, n.º 4 (abril de 2002): 853–70. http://dx.doi.org/10.1109/tgrs.2002.1006363.
Texto completo da fonteBovolo, F., G. Camps-Valls e L. Bruzzone. "A support vector domain method for change detection in multitemporal images". Pattern Recognition Letters 31, n.º 10 (julho de 2010): 1148–54. http://dx.doi.org/10.1016/j.patrec.2009.07.002.
Texto completo da fonteMatahelemual, Godfried Junio Sebastian, Agung Budi Harto e Tri Muji Susantoro. "Oil Spill Detection using Sentinel-1 Multitemporal Data in Offshore Karawang". Scientific Contributions Oil and Gas 43, n.º 2 (31 de agosto de 2020): 69–79. http://dx.doi.org/10.29017/scog.43.2.522.
Texto completo da fonteKaraca, Ali Can, Ozan Kara e Mehmet Kemal Güllü. "MultiTempGAN: Multitemporal multispectral image compression framework using generative adversarial networks". Journal of Visual Communication and Image Representation 81 (novembro de 2021): 103385. http://dx.doi.org/10.1016/j.jvcir.2021.103385.
Texto completo da fonteSona, Giovanna, Daniele Passoni, Livio Pinto, Diana Pagliari, Daniele Masseroni, Bianca Ortuani e Arianna Facchi. "UAV MULTISPECTRAL SURVEY TO MAP SOIL AND CROP FOR PRECISION FARMING APPLICATIONS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (6 de junho de 2016): 1023–29. http://dx.doi.org/10.5194/isprsarchives-xli-b1-1023-2016.
Texto completo da fonteSona, Giovanna, Daniele Passoni, Livio Pinto, Diana Pagliari, Daniele Masseroni, Bianca Ortuani e Arianna Facchi. "UAV MULTISPECTRAL SURVEY TO MAP SOIL AND CROP FOR PRECISION FARMING APPLICATIONS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (6 de junho de 2016): 1023–29. http://dx.doi.org/10.5194/isprs-archives-xli-b1-1023-2016.
Texto completo da fonteLatella, Melissa, Arjen Luijendijk, Antonio M. Moreno-Rodenas e Carlo Camporeale. "Satellite Image Processing for the Coarse-Scale Investigation of Sandy Coastal Areas". Remote Sensing 13, n.º 22 (16 de novembro de 2021): 4613. http://dx.doi.org/10.3390/rs13224613.
Texto completo da fonteRodrigues, F. A. A., J. S. Nobre, R. Vigélis, V. Liesenberg, R. C. P. Marques e F. N. S. Medeiros. "A FAST APPROACH FOR THE LOG-CUMULANTS METHOD APPLIED TO INTENSITY SAR IMAGE PROCESSING". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (6 de novembro de 2020): 499–503. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-499-2020.
Texto completo da fonteXu, Lu, Hong Zhang, Chao Wang, Bo Zhang e Meng Liu. "Crop Classification Based on Temporal Information Using Sentinel-1 SAR Time-Series Data". Remote Sensing 11, n.º 1 (29 de dezembro de 2018): 53. http://dx.doi.org/10.3390/rs11010053.
Texto completo da fonteMartino, A., F. Gerla e C. Balletti. "MULTI-SCALE AND MULTI-SENSOR APPROACHES FOR THE PROTECTION OF CULTURAL NATURAL HERITAGE: THE ISLAND OF SANTO SPIRITO IN VENICE". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-2-2023 (26 de junho de 2023): 1027–34. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-2-2023-1027-2023.
Texto completo da fontePapoutsis, Ioannis, Charalampos Kontoes, Stavroula Alatza, Alexis Apostolakis e Constantinos Loupasakis. "InSAR Greece with Parallelized Persistent Scatterer Interferometry: A National Ground Motion Service for Big Copernicus Sentinel-1 Data". Remote Sensing 12, n.º 19 (1 de outubro de 2020): 3207. http://dx.doi.org/10.3390/rs12193207.
Texto completo da fonteKarantzalos, K., A. Karmas e A. Tzotsos. "Monitoring crop growth and key agronomic parameters through multitemporal observations and time series analysis from remote sensing big data". Advances in Animal Biosciences 8, n.º 2 (1 de junho de 2017): 394–99. http://dx.doi.org/10.1017/s2040470017001261.
Texto completo da fonteSimarmata, Nirmawana, Ketut Wikantika, Trika Agnestasia Tarigan, Muhammad Aldyansyah e Rizki Kurnia Tohir. "Utilization of multitemporal imagery for analysis of changes in mangrove cover by Using Cloud Computing Method in the East Coast Region of Lampung Province". IOP Conference Series: Earth and Environmental Science 830, n.º 1 (1 de setembro de 2021): 012013. http://dx.doi.org/10.1088/1755-1315/830/1/012013.
Texto completo da fonteSimarmata, Nirmawana, Ketut Wikantika, Trika Agnestasia Tarigan, Muhammad Aldyansyah e Rizki Kurnia Tohir. "Utilization of multitemporal imagery for analysis of changes in mangrove cover by Using Cloud Computing Method in the East Coast Region of Lampung Province". IOP Conference Series: Earth and Environmental Science 830, n.º 1 (1 de setembro de 2021): 012013. http://dx.doi.org/10.1088/1755-1315/830/1/012013.
Texto completo da fonteFeitosa, Raul Queiroz, Gilson Alexandre Ostwald Pedro da Costa, Guilherme Lúcio Abelha Mota e Bruno Feijó. "Modeling alternatives for fuzzy Markov chain-based classification of multitemporal remote sensing data". Pattern Recognition Letters 32, n.º 7 (maio de 2011): 927–40. http://dx.doi.org/10.1016/j.patrec.2010.09.024.
Texto completo da fonteHamuna, Baigo, e Rosye H. R. Tanjung. "Deteksi Perubahan Luasan Mangrove Teluk Youtefa Kota Jayapura Menggunakan Citra Landsat Multitemporal". Majalah Geografi Indonesia 32, n.º 2 (30 de setembro de 2018): 115. http://dx.doi.org/10.22146/mgi.33755.
Texto completo da fonteDias, Rodrigo Zolini, e Gustavo Macedo de Mello Baptista. "Wetland nutrient retention and multitemporal growth – Case study of Riacho Fundo’s Wetland". Acta Limnologica Brasiliensia 27, n.º 3 (setembro de 2015): 254–64. http://dx.doi.org/10.1590/s2179-975x0114.
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