July 28 - August 2, 2019 • Yokohama, Japan

Pacifico Yokohama

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My IGARSS 2019 Schedule

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Paper Detail

Paper Title COMPARATIVE ASSESSMENT OF MACHINE LEARNING TECHNIQUES FOR LAND USE/LAND COVER CLASSIFICATION IN THE BRAZILIAN SAVANNA USING ALOS-2/PALSAR-2 POLARIMETRIC IMAGES
Paper IdentifierWEP2.PP.2
Authors Flavio Fortes Camargo, Edson Eyji Sano, University of Brasilia, Brazil; Jose Claudio Mura, Claudia Maria de Almeida, National Institute for Space Research (INPE), Brazil; Tati de Almeida, University of Brasilia, Brazil
Session Big Data and Machine Learning - Machine Learning for Land Application
Location Room 501-502: Poster Area P
Session Time Wednesday, 31 July, 15:20 - 16:20
Presentation Time Wednesday, 31 July, 15:20 - 16:20
Presentation Mode Poster
Topic Special Themes: Big data and machine learning