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Volumn , Issue , 2010, Pages 952-955

Satellite image classification using sparse codes of multiple features

Author keywords

Multiple feature combination; Satellite image classification; Sparse coding; Support vector machine(SVM)

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; COLOR HISTOGRAM; COMPLEMENTARY FEATURES; GABOR FEATURE; HIGH RESOLUTION SATELLITE IMAGES; INPUT FEATURES; LINEAR KERNEL; LINEAR SVM; MULTIPLE FEATURES; PROBABILITY VECTOR; SATELLITE IMAGE CLASSIFICATION; SATELLITE IMAGES; SPARSE CODES; SPARSE CODING; SUPPORT VECTOR MACHINE(SVM); SVM CLASSIFIERS; TWO STAGE;

EID: 78651111108     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2010.5655718     Document Type: Conference Paper
Times cited : (6)

References (12)
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  • 4
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    • 1-norm solution is also the sparsest solution
    • DOI 10.1002/cpa.20132
    • D. Donoho, "For most large underdetermined systems of linear equation the minimal l1-norm solution is also the sparsest solution," Comm. on Pure and Applied Math, vol. 59, no. 6, pp. 797-829, 2006. (Pubitemid 43667226)
    • (2006) Communications on Pure and Applied Mathematics , vol.59 , Issue.6 , pp. 797-829
    • Donoho, D.L.1
  • 5
    • 33845263263 scopus 로고    scopus 로고
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    • Zhao, P.1    Yu, B.2
  • 10
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B. A. Olshausen and D. J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, no. 6583, pp.607-609, 1996.
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 11
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    • Learning overcomplete representations
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    • Lewicki, M.S.1    Sejnowski, T.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.