3 November 2005 Anisotropic diffusion for multispectral remote sensed image edge-preserving filtering based on MDL and morphology
Author Affiliations +
Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430V (2005) https://doi.org/10.1117/12.654868
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoyuan Peng, Yi Wang, "Anisotropic diffusion for multispectral remote sensed image edge-preserving filtering based on MDL and morphology", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430V (3 November 2005); doi: 10.1117/12.654868; https://doi.org/10.1117/12.654868
PROCEEDINGS
8 PAGES


SHARE
Back to Top