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Improvements to Expectation-Maximization Approach for Unsupervised Classification of Remote Sensing Data.

, , , , and . GEOINFO, page 3-11. INPE, (2007)

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Estimation of Water Use in Center Pivot Irrigation Using Evapotranspiration Time Series Derived by Landsat: A Study Case in a Southeastern Region of the Brazilian Savanna., , and . Remote. Sens., 14 (23): 5929 (December 2022)Improvements to Expectation-Maximization Approach for Unsupervised Classification of Remote Sensing Data., , , , and . GEOINFO, page 3-11. INPE, (2007)Mosaico de Imagens baseado na Análise em Múltiplas Resoluções., and . GEOINFO, page 236-244. INPE, (2005)Deteccao e delimitacao automatica de corpos hidricos em imagens Sentinel-2: uma proposta de integracao do algoritmo Fmask aos indices espectrais NDWI e MNDWI., , , , and . GEOINFO, page 340-345. MCTIC/INPE, (2017)Comparison of image restoration methods applied to inland aquatic systems images aquired by HR CBERS 2B sensor., , , and . IGARSS, page 523-526. IEEE, (2010)Digital Image Processing in Remote Sensing., , and . SIBGRAPI Tutorials, page 59-71. IEEE Computer Society, (2009)A Geographical Approach to Self-Organizing Maps Algorithm Applied to Image Segmentation., , and . ACIVS, volume 6915 of Lecture Notes in Computer Science, page 162-170. Springer, (2011)Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series., , , , , and . Remote. Sens., 14 (1): 209 (2022)Nature-Inspired Framework for Hyperspectral Band Selection., , , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (4): 2126-2137 (2014)Automatic registration based on multiresolution decomposition of remote sensing images.. National Institute for Space Research, São José dos Campos, Brazil, (1999)ndltd.org (oai:agregador.ibict.br.BDTD_INPE:oai:urlib.net:sid.inpe.br/iris@1905/2005/07.29.22.26.44-0).