Exploring the Capability of ALOS PALSAR L-Band Fully Polarimetric Data for Land Cover Classification in Tropical Environments

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 12, 2016, Pages 5369-5384

  Negri, Rogério Galante ^a   Dutra, Luciano Vieira ^b   Freitas, Corina Da Costa ^b   Lu, Dengsheng ^c  

^a SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^b INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^c MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Amazon; assessment; image classification; polarimetric synthetic aperture radar (PolSAR); scenarios; synthetic aperture radar (SAR)

Indexed keywords

CLASSIFICATION (OF INFORMATION); FORESTRY; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD; POLARIMETERS; POLARIZATION; RADAR IMAGING; REFORESTATION; SYNTHETIC APERTURE RADAR;

CLASSIFICATION RESULTS; CONTEXTUAL INFORMATION; FULLY POLARIMETRIC SAR; ITERATED CONDITIONAL MODES; LAND COVER CLASSIFICATION; MAXIMUM LIKELIHOOD CLASSIFIERS; SIMULTANEOUS ANALYSIS; TROPICAL ENVIRONMENTS;

MAPPING;

ALOS; ASSESSMENT METHOD; IMAGE CLASSIFICATION; LAND CLASSIFICATION; LAND COVER; PALSAR; POLARIZATION; RAINFOREST; SYNTHETIC APERTURE RADAR; TROPICAL ENVIRONMENT;

AMAZONIA; BRAZIL;

EID: 84983648146     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2594133     Document Type: Article

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