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Volumn , Issue , 2014, Pages 549-552

Joint sparse representation of monogenic components: With application to automatic target recognition in SAR imagery

Author keywords

classification; Joint sparse representation; synthetic aperture radar; target recognition

Indexed keywords

AUTOMATIC TARGET RECOGNITION; CLASSIFICATION (OF INFORMATION); RADAR TARGET RECOGNITION; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

EID: 84911379309     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2014.6946481     Document Type: Conference Paper
Times cited : (12)

References (9)
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  • 3
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    • (2011) IEEE J. Sel. Topics Signal Process. , vol.5 , Issue.3 , pp. 629-640
    • Chen, Y.1    Nasrabadi, N.2    Tran, D.3
  • 5
    • 79958732557 scopus 로고    scopus 로고
    • Sparsity-motivated automatic target recognition
    • V. Patel, N. Nasrabadi, and R. Chellappa, "Sparsity-motivated automatic target recognition.," Applied Optics, Vol. 50, no. 10, pp. 1425-1433, 2011.
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    • Patel, V.1    Nasrabadi, N.2    Chellappa, R.3
  • 6
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    • Multiview automatic target recognition using joint sparse representation
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    • G. Dong, N. Wang, and G. Kuang, "Sparse representation of monogenic signal: with application to target recognition in SAR images," IEEE Signal Process. Lett., Vol. 21, no. 8, pp. 952-956, Aug. 2014.
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    • Monogenic binary coding: An efficient local feature extraction approach to face recognition
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.