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Volumn , Issue , 2010, Pages 3082-3085

Unsupervised change detection with very high-resolution SAR images by multiscale analysis and Markov random fields

Author keywords

Generalized Gaussian distribution; Markov random fields; Unsupervised change detection; Very high resolution synthetic aperture radar; Wavelets

Indexed keywords

DISASTER PREVENTION; DISASTERS; ENVIRONMENTAL MANAGEMENT; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; MARKOV PROCESSES; RADAR IMAGING; REMOTE SENSING;

EID: 78650903027     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2010.5652435     Document Type: Conference Paper
Times cited : (6)

References (11)
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  • 2
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    • Moser, G.1    Serpico, S.B.2
  • 3
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  • 5
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  • 6
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    • Estimation of generalized mixtures and its application to image segmentation
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    • Delignon, Y.1    Marzouki, A.2    Pieczynski, W.3
  • 7
    • 0036986484 scopus 로고    scopus 로고
    • Unsupervised change detection methods for remote sensing images
    • F Melgani, G. Moser, and S. B. Serpico, "Unsupervised change detection methods for remote sensing images," Opt. Eng., vol. 41, no. 12, pp. 3288-3297, 2002.
    • (2002) Opt. Eng. , vol.41 , Issue.12 , pp. 3288-3297
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  • 9
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  • 10
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    • Unsupervised change detection from multichannel sar data by Markovian data fusion
    • G. Moser and S. B. Serpico, "Unsupervised change detection from multichannel sar data by markovian data fusion," IEEE Trans. Geosci. Remote Sensing, vol. 47, pp. 2114-2128, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.