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Volumn 31, Issue 8, 2010, Pages 2091-2099

Multispectral image denoising by well-posed anisotropic diffusion scheme with channel coupling

Author keywords

[No Author keywords available]

Indexed keywords

DIFFUSION; OPTICAL ANISOTROPY;

EID: 77951814912     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160903260965     Document Type: Article
Times cited : (25)

References (19)
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  • 7
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    • Minimal Surfaces and Functions of Bounded Variation
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    • GIUSTI, F., 1984, Minimal Surfaces and Functions of Bounded Variation, Monographs Math. Vol. 80 (Basel: Birkhaüser).
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    • Giusti, F.1
  • 9
    • 37249089673 scopus 로고    scopus 로고
    • Object-based change detection using correlation image analysis and image segmentation techniques
    • IM, J., JENSEN, J. and TULLIS, J., 2008, Object-based change detection using correlation image analysis and image segmentation techniques. International Journal of Remote Sensing, 29, pp. 399-423.
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    • Im, J.1    Jensen, J.2    Tullis, J.3
  • 10
    • 34250847525 scopus 로고    scopus 로고
    • Improving edge detection and watershed segmentation with anisotropic diffusion and morphological levelings
    • KARANTZALOS, K. and ARGIALAS, D., 2006, Improving edge detection and watershed segmentation with anisotropic diffusion and morphological levelings. International Journal of Remote Sensing, 27, pp. 5427-5434.
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    • Nonlinear total variation based noise removal algorithms
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    • Rudin, L.1    Osher, S.2    Fatemi, E.3
  • 18
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    • Nonlinear multispectral anisotropic diffusion filters for remote sensed images based on MDL and morphology
    • 25-29 July
    • WANG, Y., ZHANG, L. and LI, P., 2005, Nonlinear multispectral anisotropic diffusion filters for remote sensed images based on MDL and morphology. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 25-29 July 2005,pp. 4327-4330.
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    • Wang, Y.1    Zhang, L.2    Li, P.3
  • 19
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    • Despeckling SAR-type multiplicative noise
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    • Xu, P.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.