Nonlinear compressed sensing-based LDA topic model for polarimetric SAR image classification

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

Volumn 7, Issue 3, 2014, Pages 972-982

  He, Chu ^a   Zhuo, Tong ^a   Ou, Dan ^a   Liu, Ming ^a   Liao, Mingsheng ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Image classification; nonlinear compressed sensing based LDA Topic (NCSLT) model; polarimetric synthetic aperture radar (SAR)

Indexed keywords

POLARIMETERS; SIGNAL RECONSTRUCTION; SYNTHETIC APERTURE RADAR;

COMPLEX SCENES; IMAGE PIXELS; NONLINEAR STRUCTURE; ORIGINAL SIGNAL; POLARIMETRIC SAR; POLARIMETRIC SYNTHETIC APERTURE RADARS; RANDOM MEASUREMENT; TOPIC MODELING;

IMAGE CLASSIFICATION;

DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; NUMERICAL MODEL; PIXEL; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

EID: 84897115190     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2293343     Document Type: Article

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