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Volumn , Issue , 2011, Pages 1708-1711

Spectral and spatial classification of hyperspectral data using SVMs and Gabor textures

Author keywords

Gabor texture; hyperspectral; support vector machines

Indexed keywords

CLASSIFICATION ACCURACY; GABOR FILTER; GABOR TEXTURE; HIGH SPATIAL RESOLUTION IMAGES; HYPERSPECTRAL; HYPERSPECTRAL DATA; MORPHOLOGICAL PROFILE; SPATIAL CLASSIFICATION; SPATIAL INFORMATIONS; SPATIAL RESOLUTION IMAGES; SPECTRAL CLASSIFICATION; STRUCTURE INFORMATION; SUPPORT VECTOR; URBAN MAPPING;

EID: 80955160562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6049564     Document Type: Conference Paper
Times cited : (56)

References (11)
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    • Franklin, S.E.1    Hall, R.J.2    Moskal, L.M.3
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    • Haralick, R.1
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  • 7
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  • 9
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    • Kernel-based methods for hyperspectral image classification
    • DOI 10.1109/TGRS.2005.846154
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    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.6 , pp. 1351-1362
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  • 10
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    • Classification of hyperspectral remote sensing images with support vector machines
    • August
    • F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines,"IEEE Trans.Geosci. Remote Sens., vol. 42, pp. 1778-1790, August 2004.
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    • Melgani, F.1    Bruzzone, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.