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Proceedings Paper

Anisotropic diffusion for multispectral remote sensed image edge-preserving filtering based on MDL and morphology
Author(s): Xiaoyuan Peng; Yi Wang
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Paper Abstract

Anisotropic diffusion has been introduced as an effective tool for image smoothing and extended to multispectral images. In this paper, two improved multispectral anisotropic diffusion approaches are presented. Using a local Gaussian scale selection technique based on probabilistic estimate and the morphological estimate of the gradient threshold, the diffusion approaches are further improved by allowing better control of the diffusion behavior and an appropriate stopping mechanism. The proposed approaches not only effectively remove Gaussian noise and randomly impulsive noise caused by sensors, but also preferably preserve important and detailed edges and image quality. Experimental results on two multispectral satellite images are given to show that the proposed approaches have superiority capability over the previous multispectral anisotropic diffusion schemes on visual judgment and quality statistical analysis.

Paper Details

Date Published: 4 November 2005
PDF: 8 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430V (4 November 2005); doi: 10.1117/12.654868
Show Author Affiliations
Xiaoyuan Peng, Wuhan Univ. (China)
Yi Wang, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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