In defense of iterated conditional mode for hyperspectral image classification

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn 2014-September, Issue Septmber, 2014, Pages

  Lin, Jianzhe ^a,c   Wang, Qi ^b   Yuan, Yuan ^a  

^a XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

^b NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

hyperspectral image classification; Iterated conditional mode; support vector machine

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; MARKOV PROCESSES; REMOTE SENSING; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; ENERGY MINIMIZATION PROCEDURE; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; ITERATED CONDITIONAL MODES; MARKOV RANDOM FIELDS; OPTIMIZATION TECHNIQUES; STATE-OF-THE-ART METHODS;

IMAGE CLASSIFICATION;

EID: 84937469063     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2014.6890171     Document Type: Conference Paper

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