Discrimination of crop types with TerraSAR-X-derived information

Physics and Chemistry of the Earth

Volumn 83-84, Issue , 2015, Pages 2-13

  Sonobe, Rei ^a,b   Tani, Hiroshi ^a   Wang, Xiufeng ^a   Kobayashi, Nobuyuki ^c   Shimamura, Hideki ^d  

^a HOKKAIDO UNIVERSITY   (Japan)

^b JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE   (Japan)

^c Smart Link Hokkaido   (Japan)

^d PASCO CORPORATION   (Japan)

Author keywords

Classification; Random forest; Support vector machine; TerraSAR X

Indexed keywords

AGRICULTURAL MACHINERY; ARTIFICIAL INTELLIGENCE; CROPS; DECISION TREES; LEARNING ALGORITHMS; LEARNING SYSTEMS; POLARIMETERS; SATELLITES; SUPPORT VECTOR MACHINES;

AGRICULTURAL DISASTERS; CLASSIFICATION ALGORITHM; CLASSIFICATION AND REGRESSION TREE; CLASSIFICATION MAPS; CROP CLASSIFICATION; POLARIMETRIC PARAMETERS; RANDOM FORESTS; TERRASAR-X;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ALGORITHM; CROP; FOREST; MAPPING; SYNTHETIC APERTURE RADAR; TANDEM-X; TERRA (SATELLITE); VEGETATION CLASSIFICATION;

HOKKAIDO; JAPAN;

SOLANUM TUBEROSUM; TRITICUM AESTIVUM; ZEA MAYS;

EID: 84963614975     PISSN: 14747065     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pce.2014.11.001     Document Type: Article

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