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Volumn 82, Issue 11, 2012, Pages 2182-2198

Nonparametric edge detection in speckled imagery

Author keywords

Edge detection; Hypothesis testing; Image analysis; Multiplicative noise; SAR; Small samples; Speckle

Indexed keywords

ALTERNATIVE METHODS; HYPOTHESIS TESTING; MULTIPLICATIVE NOISE; NON-PARAMETRIC; NONPARAMETRIC METHODS; SAR; SMALL SAMPLES; SYNTHETIC APERTURE RADAR IMAGERY;

EID: 84865662882     PISSN: 03784754     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matcom.2012.04.013     Document Type: Article
Times cited : (17)

References (27)
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    • The polarimetric G distribution for SAR data analysis
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    • Feature extraction in speckled imagery using dynamic B-spline deformable contours under the G 0 model
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    • Gambini, J.1    Mejail, M.E.2    Jacobo-Berlles, J.3    Frery, A.C.4
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    • Approximation of distributions for SAR images: Proposal, evaluation and practical consequences
    • M.E. Mejail, A.C. Frery, J. Jacobo-Berlles, and O. Bustos Approximation of distributions for SAR images: proposal, evaluation and practical consequences Latin American Applied Research 31 2001 83 92
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    • Mejail, M.E.1    Frery, A.C.2    Jacobo-Berlles, J.3    Bustos, O.4
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    • A supervised classification method based on conditional random fields with multiscale region connection calculus model for sar image
    • X. Su, C. He, Q. Feng, X. Deng, and H. Sun A supervised classification method based on conditional random fields with multiscale region connection calculus model for sar image IEEE Geoscience and Remote Sensing Letters 8 2011 497 501
    • (2011) IEEE Geoscience and Remote Sensing Letters , vol.8 , pp. 497-501
    • Su, X.1    He, C.2    Feng, Q.3    Deng, X.4    Sun, H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.