| 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 Identifier | WEP2.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
|
