Paper Title |
DEEP LEARNING SOLUTIONS FOR TANDEM-X-BASED FOREST CLASSIFICATION |
Paper Identifier | WEP2.PE.11 |
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Authors |
Antonio Mazza, University Federico II of Naples, Italy; Francescopaolo Sica, German Aerospace Center (DLR), Germany |
Session |
Analysis of SAR/POLSAR Data |
Location |
Room 501-502: Poster Area E |
Session Time |
Wednesday, 31 July, 15:20 - 16:20 |
Presentation Time |
Wednesday, 31 July, 15:20 - 16:20 |
Presentation Mode |
Poster
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Topic |
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Classification and Clustering
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