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Volumn 8006, Issue , 2011, Pages

Sparse representation based spectral clustering for SAR image segmentation

Author keywords

L 1 minimization; Sparse representation; Spectral clustering; Synthetic aperture radar

Indexed keywords

AFFINITY MATRIX; GAUSSIAN KERNEL FUNCTIONS; K-MEANS; M METHOD; MINIMIZATION PROBLEMS; SAR IMAGE SEGMENTATION; SCALING PARAMETER; SEGMENTATION PROCESS; SEGMENTATION RESULTS; SPARSE REPRESENTATION; SPECTRAL CLUSTERING; SYNTHETIC APERTURE RADAR IMAGE SEGMENTATIONS;

EID: 84255200425     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.901531     Document Type: Conference Paper
Times cited : (8)

References (13)
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    • Zaart, E.1    Ziou, D.2    Wang, S.3    Jiang, Q.4
  • 2
    • 14644431755 scopus 로고    scopus 로고
    • Unsupervised classification of polarimetric synthetic aperture radar images using fuzzy clustering and EM clustering
    • DOI 10.1109/TGRS.2004.842108
    • P. R. Kersten, J.S. Lee, and T. L. Ainsworth, "Unsupervised classification of Polarimetrie synthetic aperture radar images using fuzzy clustering and EM clustering, " IEEE Trans. Geosci. Remote Sens., 43(3), 519-527 (2005). (Pubitemid 40320273)
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.3 , pp. 519-527
    • Kersten, P.R.1    Lee, J.-S.2    Ainsworth, T.L.3
  • 3
    • 45849119092 scopus 로고    scopus 로고
    • Spectral clustering ensemble applied to SAR image segmentation
    • X. Zhang, L. Jiao, F. Liu, L. Bo and M. Gong, "Spectral Clustering Ensemble Applied to SAR Image Segmentation, " IEEE Trans. Geosci. Remote Sens., 46(7), 2126-2136 (2008).
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.7 , pp. 2126-2136
    • Zhang, X.1    Jiao, L.2    Liu, F.3    Bo, L.4    Gong, M.5
  • 6
    • 14644412825 scopus 로고    scopus 로고
    • Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model
    • H. Deng and D. A. Clausi, "Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model, " IEEE Trans. Geosci. Remote Sens., 43(3), 528-538 (2005).
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 528-538
    • Deng, H.1    Clausi, D.A.2
  • 7
    • 0015661138 scopus 로고
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    • (1973) IBM J. Res. Develop. , vol.17 , Issue.5 , pp. 420-425
    • Donath, W.E.1    Hoffman, A.J.2
  • 8
    • 77249095854 scopus 로고    scopus 로고
    • Semi-supervised learning by sparse representation
    • S. Yan and H. Wang, "Semi-supervised Learning by Sparse Representation, " In Proc. SDM Data Mining Conference, pp. 792-801 (2009).
    • (2009) Proc. SDM Data Mining Conference , pp. 792-801
    • Yan, S.1    Wang, H.2
  • 10
    • 84855539365 scopus 로고    scopus 로고
    • Online, Available
    • [Online], Available: http://sparselab.stanford.edu.
  • 13
    • 31344442565 scopus 로고    scopus 로고
    • Unsupervised change detection on SAR images using fuzzy hidden Markov chains
    • C. Carincotte, S. Derrode, and S. Bourennance, "Unsupervised change detection on SAR images using fuzzy hidden Markov chains, " IEEE Trans. Geosci. Remote Sens., 44(2), 432-441 (2006).
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.2 , pp. 432-441
    • Carincotte, C.1    Derrode, S.2    Bourennance, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.