Combining Semi-Supervised and active learning for hyperspectral image classification

Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 89-94

  Li, Mingzhi ^a   Wang, Rui ^a   Tang, Ke ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

active learning; hyperspectral classification; remote sensing; semi supervised learning

Indexed keywords

ACTIVE LEARNING; HIGH DIMENSIONAL FEATURE; HYPER-SPECTRAL CLASSIFICATION; HYPERSPECTRAL IMAGE CLASSIFICATION; QUERY STRATEGIES; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; STATE-OF-THE-ART ALGORITHMS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA MINING; REMOTE SENSING; SPECTROSCOPY; SUPERVISED LEARNING;

IMAGE CLASSIFICATION;

EID: 84885613809     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2013.6597222     Document Type: Conference Paper

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