Artigos de revistas sobre o tema "Time series of satellite images"
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Ghosh, Tilottama, Kimberly E. Baugh, Christopher D. Elvidge, Mikhail Zhizhin, Alexey Poyda e Feng-Chi Hsu. "Extending the DMSP Nighttime Lights Time Series beyond 2013". Remote Sensing 13, n.º 24 (9 de dezembro de 2021): 5004. http://dx.doi.org/10.3390/rs13245004.
Texto completo da fonteWang, Ruifu, Dongdong Teng, Wenqing Yu, Xi Zhang e Jinshan Zhu. "Improvement and Application of a GAN Model for Time Series Image Prediction—A Case Study of Time Series Satellite Cloud Images". Remote Sensing 14, n.º 21 (2 de novembro de 2022): 5518. http://dx.doi.org/10.3390/rs14215518.
Texto completo da fonteLiu, Yu, Wenqing Li, Li Li e Naiqun Zhang. "Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery". Computational Intelligence and Neuroscience 2022 (30 de maio de 2022): 1–8. http://dx.doi.org/10.1155/2022/3901372.
Texto completo da fonteErena, Manuel, José A. Domínguez, Joaquín F. Atenza, Sandra García-Galiano, Juan Soria e Ángel Pérez-Ruzafa. "Bathymetry Time Series Using High Spatial Resolution Satellite Images". Water 12, n.º 2 (14 de fevereiro de 2020): 531. http://dx.doi.org/10.3390/w12020531.
Texto completo da fonteGuyet, Thomas, e Hervé Nicolas. "Long term analysis of time series of satellite images". Pattern Recognition Letters 70 (janeiro de 2016): 17–23. http://dx.doi.org/10.1016/j.patrec.2015.11.005.
Texto completo da fonteLi, Jianzhou, Jinji Ma e Xiaojiao Ye. "A Batch Pixel-Based Algorithm to Composite Landsat Time Series Images". Remote Sensing 14, n.º 17 (29 de agosto de 2022): 4252. http://dx.doi.org/10.3390/rs14174252.
Texto completo da fonteSilva, B. L. C., F. C. Souza, K. R. Ferreira, G. R. Queiroz e L. A. Santos. "SPATIOTEMPORAL SEGMENTATION OF SATELLITE IMAGE TIME SERIES USING SELF-ORGANIZING MAP". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (17 de maio de 2022): 255–61. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-255-2022.
Texto completo da fontePETITJEAN, FRANÇOIS, FLORENT MASSEGLIA, PIERRE GANÇARSKI e GERMAIN FORESTIER. "DISCOVERING SIGNIFICANT EVOLUTION PATTERNS FROM SATELLITE IMAGE TIME SERIES". International Journal of Neural Systems 21, n.º 06 (dezembro de 2011): 475–89. http://dx.doi.org/10.1142/s0129065711003024.
Texto completo da fonteVitkovskaya, I. S. "SATELLITE DATA PROCESSING ALGORITHM IN THE PROCESS OF FORMATION OF THE TIME SERIES OF VEGETATION INDEXES". Eurasian Physical Technical Journal 18, n.º 2 (11 de junho de 2021): 90–95. http://dx.doi.org/10.31489/2021no2/90-95.
Texto completo da fonteZhou, Z. G., P. Tang e M. Zhou. "DETECTING ANOMALY REGIONS IN SATELLITE IMAGE TIME SERIES BASED ON SESAONAL AUTOCORRELATION ANALYSIS". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (6 de junho de 2016): 303–10. http://dx.doi.org/10.5194/isprsannals-iii-3-303-2016.
Texto completo da fonteZhou, Z. G., P. Tang e M. Zhou. "DETECTING ANOMALY REGIONS IN SATELLITE IMAGE TIME SERIES BASED ON SESAONAL AUTOCORRELATION ANALYSIS". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (6 de junho de 2016): 303–10. http://dx.doi.org/10.5194/isprs-annals-iii-3-303-2016.
Texto completo da fonteWei, Jingbo, Chenghao Zhou, Jingsong Wang e Zhou Chen. "Time-Series FY4A Datasets for Super-Resolution Benchmarking of Meteorological Satellite Images". Remote Sensing 14, n.º 21 (6 de novembro de 2022): 5594. http://dx.doi.org/10.3390/rs14215594.
Texto completo da fonteCaputo, Teresa, Eliana Bellucci Sessa, Malvina Silvestri, Maria Fabrizia Buongiorno, Massimo Musacchio, Fabio Sansivero e Giuseppe Vilardo. "Surface Temperature Multiscale Monitoring by Thermal Infrared Satellite and Ground Images at Campi Flegrei Volcanic Area (Italy)". Remote Sensing 11, n.º 9 (28 de abril de 2019): 1007. http://dx.doi.org/10.3390/rs11091007.
Texto completo da fonteA.Khalaf, Ayad, e Ali H. Hummadi. "Time Series Analysis of Agricultural Drought and Desertification using Spectral Indices and Satellite Images". Tikrit Journal for Agricultural Sciences 24, n.º 1 (31 de março de 2024): 206–22. http://dx.doi.org/10.25130/tjas.24.1.17.
Texto completo da fonteWinsvold, Solveig H., Andreas Kääb, Christopher Nuth, Liss M. Andreassen, Ward J. J. van Pelt e Thomas Schellenberger. "Using SAR satellite data time series for regional glacier mapping". Cryosphere 12, n.º 3 (9 de março de 2018): 867–90. http://dx.doi.org/10.5194/tc-12-867-2018.
Texto completo da fonteSurek, György, e Gizella Nádor. "Monitoring of Damage in Sunflower and Maize Parcels Using Radar and Optical Time Series Data". Journal of Sensors 2015 (2015): 1–25. http://dx.doi.org/10.1155/2015/548506.
Texto completo da fontePetitjean, François, Jordi Inglada e Pierre Gancarski. "Satellite Image Time Series Analysis Under Time Warping". IEEE Transactions on Geoscience and Remote Sensing 50, n.º 8 (agosto de 2012): 3081–95. http://dx.doi.org/10.1109/tgrs.2011.2179050.
Texto completo da fonteGandhimathi Alias Usha, S., e S. Vasuki. "Time series analysis of multispectral satellite images using game theory classifier". Optik 241 (setembro de 2021): 167155. http://dx.doi.org/10.1016/j.ijleo.2021.167155.
Texto completo da fonteChampion, Nicolas. "AUTOMATIC DETECTION OF CLOUDS AND SHADOWS USING HIGH RESOLUTION SATELLITE IMAGE TIME SERIES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (9 de junho de 2016): 475–79. http://dx.doi.org/10.5194/isprs-archives-xli-b3-475-2016.
Texto completo da fonteShi, Keli, Zhi-Qiang Liu, Weixiong Zhang, Ping Tang e Zheng Zhang. "Enhancing Satellite Image Sequences through Multi-Scale Optical Flow-Intermediate Feature Joint Network". Remote Sensing 16, n.º 2 (22 de janeiro de 2024): 426. http://dx.doi.org/10.3390/rs16020426.
Texto completo da fonteMartello, Maurício, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Canal Filho e João Vitor Moreira Nicoletti. "Coffee-Yield Estimation Using High-Resolution Time-Series Satellite Images and Machine Learning". AgriEngineering 4, n.º 4 (5 de outubro de 2022): 888–902. http://dx.doi.org/10.3390/agriengineering4040057.
Texto completo da fonteChampion, Nicolas. "AUTOMATIC DETECTION OF CLOUDS AND SHADOWS USING HIGH RESOLUTION SATELLITE IMAGE TIME SERIES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (9 de junho de 2016): 475–79. http://dx.doi.org/10.5194/isprsarchives-xli-b3-475-2016.
Texto completo da fonteLu, Peng, Ao Sun, Mingyu Xu, Zhenhua Wang, Zongsheng Zheng, Yating Xie e Wenjuan Wang. "A time series image prediction method combining a CNN and LSTM and its application in typhoon track prediction". Mathematical Biosciences and Engineering 19, n.º 12 (2022): 12260–78. http://dx.doi.org/10.3934/mbe.2022571.
Texto completo da fonteOuerghi, E., T. Ehret, C. de Franchis, G. Facciolo, T. Lauvaux, E. Meinhardt e J. M. Morel. "AUTOMATIC METHANE PLUMES DETECTION IN TIME SERIES OF SENTINEL-5P L1B IMAGES". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (17 de maio de 2022): 147–54. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-147-2022.
Texto completo da fontePetitjean, Francois, e Jonathan Weber. "Efficient Satellite Image Time Series Analysis Under Time Warping". IEEE Geoscience and Remote Sensing Letters 11, n.º 6 (junho de 2014): 1143–47. http://dx.doi.org/10.1109/lgrs.2013.2288358.
Texto completo da fonteDevanthéry, Núria, Michele Crosetto, Oriol Monserrat, María Cuevas-González e Bruno Crippa. "Deformation Monitoring Using Sentinel-1 SAR Data". Proceedings 2, n.º 7 (22 de março de 2018): 344. http://dx.doi.org/10.3390/ecrs-2-05157.
Texto completo da fonteMoskolaï, Waytehad Rose, Wahabou Abdou, Albert Dipanda e Kolyang. "Application of Deep Learning Architectures for Satellite Image Time Series Prediction: A Review". Remote Sensing 13, n.º 23 (27 de novembro de 2021): 4822. http://dx.doi.org/10.3390/rs13234822.
Texto completo da fonteWang, Yidan, Xuewen Zhou, Zurui Ao, Kun Xiao, Chenxi Yan e Qinchuan Xin. "Gap-Filling and Missing Information Recovery for Time Series of MODIS Data Using Deep Learning-Based Methods". Remote Sensing 14, n.º 19 (20 de setembro de 2022): 4692. http://dx.doi.org/10.3390/rs14194692.
Texto completo da fonteWei, Yidi, Yongcun Cheng, Xiaobin Yin, Qing Xu, Jiangchen Ke e Xueding Li. "Deep Learning-Based Classification of High-Resolution Satellite Images for Mangrove Mapping". Applied Sciences 13, n.º 14 (24 de julho de 2023): 8526. http://dx.doi.org/10.3390/app13148526.
Texto completo da fonteAmr, Doha, Xiao-Li Ding e Reda Fekry. "A Multi-Satellite SBAS for Retrieving Long-Term Ground Displacement Time Series". Remote Sensing 16, n.º 9 (25 de abril de 2024): 1520. http://dx.doi.org/10.3390/rs16091520.
Texto completo da fonteSharma, Amit Kumar, Laurence Hubert-Moy, Sriramulu Buvaneshwari, Muddu Sekhar, Laurent Ruiz, Hemanth Moger, Soumya Bandyopadhyay e Samuel Corgne. "Identifying Seasonal Groundwater-Irrigated Cropland Using Multi-Source NDVI Time-Series Images". Remote Sensing 13, n.º 10 (18 de maio de 2021): 1960. http://dx.doi.org/10.3390/rs13101960.
Texto completo da fonteZhou, Fuqun, Detang Zhong e Rihana Peiman. "Reconstruction of Cloud-free Sentinel-2 Image Time-series Using an Extended Spatiotemporal Image Fusion Approach". Remote Sensing 12, n.º 16 (12 de agosto de 2020): 2595. http://dx.doi.org/10.3390/rs12162595.
Texto completo da fonteSandeep Reddy, G. Bala Rajeev, e Dr Muni Reddy.M.G. "Automated Extraction of Satellite-Derived Shoreline Changes along the Ongole Coast of Andhra Pradesh from 2000 to 2023 Using CoastSat". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 01 (15 de janeiro de 2024): 1–13. http://dx.doi.org/10.55041/ijsrem28320.
Texto completo da fonteSinha, Priyakant, e Lalit Kumar. "Markov Land Cover Change Modeling Using Pairs of Time-Series Satellite Images". Photogrammetric Engineering & Remote Sensing 79, n.º 11 (1 de novembro de 2013): 1037–51. http://dx.doi.org/10.14358/pers.79.11.1037.
Texto completo da fonteGreene, Chad A., Alex S. Gardner e Lauren C. Andrews. "Detecting seasonal ice dynamics in satellite images". Cryosphere 14, n.º 12 (2 de dezembro de 2020): 4365–78. http://dx.doi.org/10.5194/tc-14-4365-2020.
Texto completo da fonteBarazzetti, L., M. Gianinetto e M. Scaioni. "Automatic registration of multi-source medium resolution satellite data". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7 (19 de setembro de 2014): 23–28. http://dx.doi.org/10.5194/isprsarchives-xl-7-23-2014.
Texto completo da fonteKamdem De Teyou, G., Y. Tarabalka, I. Manighetti, R. Almar e S. Tripodi. "DEEP NEURAL NETWORKS FOR AUTOMATIC EXTRACTION OF FEATURES IN TIME SERIES OPTICAL SATELLITE IMAGES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (14 de agosto de 2020): 1529–35. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1529-2020.
Texto completo da fonteMazzanti, Paolo, Paolo Caporossi e Riccardo Muzi. "Sliding Time Master Digital Image Correlation Analyses of CubeSat Images for landslide Monitoring: The Rattlesnake Hills Landslide (USA)". Remote Sensing 12, n.º 4 (11 de fevereiro de 2020): 592. http://dx.doi.org/10.3390/rs12040592.
Texto completo da fonteInterdonato, Roberto, Raffaele Gaetano, Danny Lo Seen, Mathieu Roche e Giuseppe Scarpa. "Extracting multilayer networks from Sentinel-2 satellite image time series". Network Science 8, S1 (17 de janeiro de 2020): S26—S42. http://dx.doi.org/10.1017/nws.2019.58.
Texto completo da fonteRadoi, Anamaria, e Corneliu Burileanu. "Retrieval of Similar Evolution Patterns from Satellite Image Time Series". Applied Sciences 8, n.º 12 (1 de dezembro de 2018): 2435. http://dx.doi.org/10.3390/app8122435.
Texto completo da fonteSharma, Rachita, e Sanjay Kumar Dubey. "ANALYSIS OF SOM & SOFM TECHNIQUES USED IN SATELLITE IMAGERY". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, n.º 2 (21 de junho de 2018): 563–65. http://dx.doi.org/10.24297/ijct.v4i2c1.4181.
Texto completo da fonteKong, Yun-long, Yu Meng, Wei Li, An-zhi Yue e Yuan Yuan. "Satellite Image Time Series Decomposition Based on EEMD". Remote Sensing 7, n.º 11 (19 de novembro de 2015): 15583–604. http://dx.doi.org/10.3390/rs71115583.
Texto completo da fonteTamborrino, Cristiano, Roberto Interdonato e Maguelonne Teisseire. "Sentinel-2 Satellite Image Time-Series Land Cover Classification with Bernstein Copula Approach". Remote Sensing 14, n.º 13 (27 de junho de 2022): 3080. http://dx.doi.org/10.3390/rs14133080.
Texto completo da fonteCelis, Jorge, Xiangming Xiao, Paul M. White, Osvaldo M. R. Cabral e Helber C. Freitas. "Improved Modeling of Gross Primary Production and Transpiration of Sugarcane Plantations with Time-Series Landsat and Sentinel-2 Images". Remote Sensing 16, n.º 1 (21 de dezembro de 2023): 46. http://dx.doi.org/10.3390/rs16010046.
Texto completo da fonteZhang, Zheng, Ping Tang, Weixiong Zhang e Liang Tang. "Satellite Image Time Series Clustering via Time Adaptive Optimal Transport". Remote Sensing 13, n.º 19 (6 de outubro de 2021): 3993. http://dx.doi.org/10.3390/rs13193993.
Texto completo da fonteVerbesselt, Jan, Achim Zeileis e Martin Herold. "Near real-time disturbance detection using satellite image time series". Remote Sensing of Environment 123 (agosto de 2012): 98–108. http://dx.doi.org/10.1016/j.rse.2012.02.022.
Texto completo da fonteAntonopoulou, Alexandra, Georgios Balasis, Constantinos Papadimitriou, Adamantia Zoe Boutsi, Athanasios Rontogiannis, Konstantinos Koutroumbas, Ioannis A. Daglis e Omiros Giannakis. "Convolutional Neural Networks for Automated ULF Wave Classification in Swarm Time Series". Atmosphere 13, n.º 9 (13 de setembro de 2022): 1488. http://dx.doi.org/10.3390/atmos13091488.
Texto completo da fonteMa, Lei, Michael Schmitt e Xiaoxiang Zhu. "Uncertainty Analysis of Object-Based Land-Cover Classification Using Sentinel-2 Time-Series Data". Remote Sensing 12, n.º 22 (19 de novembro de 2020): 3798. http://dx.doi.org/10.3390/rs12223798.
Texto completo da fontePailot-Bonnétat, Sophie, Andrew J. L. Harris, Sonia Calvari, Marcello De Michele e Lucia Gurioli. "Plume Height Time-Series Retrieval Using Shadow in Single Spatial Resolution Satellite Images". Remote Sensing 12, n.º 23 (3 de dezembro de 2020): 3951. http://dx.doi.org/10.3390/rs12233951.
Texto completo da fonteKharazmi, R., E. А. Panidi e M. М. Karkon Varnosfaderani. "Assessment of dry land ecosystem dynamics based on time series of satellite images". Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 13, n.º 5 (2016): 214–23. http://dx.doi.org/10.21046/2070-7401-2016-13-5-214-223.
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