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Hypersaline Tidal Flats Detection Using Deep Learning Over 37 Years of Landsat Data.

, , , , и . IGARSS, стр. 3337-3340. IEEE, (2023)

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Gilberto Vargas

Ortrud Vargas

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Spectral Attributes Selection based on Data Mining for Remote Sensing Image Classification., , , , и . GEOINFO, стр. 155-161. MCTI/INPE, (2015)Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado., , , , , , , , , и 1 other автор(ы). IGARSS, стр. 1078-1081. IEEE, (2020)Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series., , , , , , и . IGARSS, стр. 4520-4523. IEEE, (2021)Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest., , , , , и . IEEE Geosci. Remote. Sens. Lett., 18 (5): 771-775 (2021)Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning., , , и . IGARSS, стр. 4990-4993. IEEE, (2023)Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal., , и . IGARSS, стр. 7179-7182. IEEE, (2023)Irregular Cellular Spaces: Supporting Realistic Spatial Dynamic Modeling over Geographical Databases., , и . GEOINFO, стр. 109-120. INPE, (2008)Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series., , , , , и . Remote. Sens., 14 (1): 209 (2022)Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data., , , , , , , и . IGARSS, стр. 5401-5404. IEEE, (2021)An Extensible and Easy-to-use Toolbox for Deep Learning Based Analysis of Remote Sensing Images., , и . IGARSS, стр. 9815-9818. IEEE, (2019)