MSMD: maximum separability and minimum dependency feature selection for cropland classification from optical and radar data

International Journal of Remote Sensing

Volumn 39, Issue 8, 2018, Pages 2159-2176

  Khosravi, Iman ^a   Safari, Abdolreza ^a   Homayouni, Saeid ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; DECISION TREES; FEATURE EXTRACTION; OPTICAL CORRELATION; POLARIMETERS; RADAR IMAGING; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; FEATURE SELECTION METHODS; POLARIMETRIC FEATURES; POLARIMETRIC SYNTHETIC APERTURE RADARS; RANDOM FOREST CLASSIFIER; STRATEGIC FEATURES; UNINHABITED AERIAL VEHICLE;

CLASSIFICATION (OF INFORMATION);

AGRICULTURAL LAND; IMAGE CLASSIFICATION; OPTICAL METHOD; RAPIDEYE; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

EID: 85040973375     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2018.1425564     Document Type: Article

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