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Volumn , Issue , 2012, Pages 6879-6882

A novel SOM-based active learning technique for classification of remote sensing images with SVM

Author keywords

Active learning; remote sensing; self organizing map; support vector machine

Indexed keywords

ACTIVE LEARNING; ACTIVE LEARNING METHODS; BATCH MODES; CLASSIFICATION OF REMOTE SENSING IMAGE; HYPERSPECTRAL REMOTE SENSING DATA; MULTI-SPECTRAL; REMOTE SENSING IMAGE CLASSIFICATION; SELF-ORGANIZING MAP NEURAL NETWORK;

EID: 84873170073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6352582     Document Type: Conference Paper
Times cited : (4)

References (10)
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  • 4
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    • S. Patra and L. Bruzzone, "A cluster-assumption based batch mode active learning technique," Pattern Recognition Letters, vol. 33, no. 9, pp. 1042-1048, 2012.
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  • 10
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    • Investigation of the random forest framework for classification of hyperspectral data
    • J. Ham, Y. Chen, M. M. Crawford, and J. Ghosh, "Investigation of the random forest framework for classification of hyperspectral data," IEEE Trans. on Geoscience and Remote Sensing, vol. 43, no. 3, pp. 492-501, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.