Best accuracy land use/land cover (LULC) classification to derive crop types using multitemporal, multisensor, and multi-polarization SAR satellite images

Remote Sensing

Volumn 8, Issue 8, 2016, Pages

  Hütt, Christoph ^a   Koppe, Wolfgang ^b   Miao, Yuxin ^c   Bareth, Georg ^a  

^a UNIVERSITY OF COLOGNE   (Germany)

^b AIRBUS DEFENCE AND SPACE   (Germany)

^c CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Envisat; FORMOSAT 2; Land use classification; Multi sensor; Polarimetric SAR; Radar; Radarsat 2; Rice; crop classification; TerraSAR x

Indexed keywords

CROPS; DECISION TREES; GEODETIC SATELLITES; GEOMETRICAL OPTICS; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; LAND USE; MAXIMUM LIKELIHOOD; POLARIZATION; RADAR; RADAR IMAGING; REMOTE SENSING; SATELLITES; SYNTHETIC APERTURE RADAR;

CROP CLASSIFICATION; ENVISAT; FORMOSAT-2; LANDUSE CLASSIFICATIONS; MULTI SENSOR; POLARIMETRIC SAR; RADARSAT-2; TERRASAR-X;

IMAGE CLASSIFICATION;

EID: 84983738569     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8080684     Document Type: Article

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