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Proceedings Paper

Combining anisotropic diffusion and alternating sequential filtering for satellite image enhancement and smoothing
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Paper Abstract

Automatic information extraction requires a processing system to encapsulate the content of the image. This is a non-trivial task, because of the complexity of the information stored in images. In this paper satellite image enhancement and smoothing towards automatic feature extraction is accomplished through an effective serial application of anisotropic diffusion processing and alternating sequential filtering. Nonlinear diffusion processes can be found in many recent methods for image processing and computer vision. A robust anisotropic diffusion filtering is used with Tukey's biweight robust error norm for "edge-stopping" function, which preserves sharper boundaries than previous formulations and improves the automatic stopping of the diffusion. A well-known class of morphological filters, alternating sequential filtering is applied afterwards for a more extended enhancement and smoothing. The effective processing scheme is demonstrated with examples; Results appear promising.

Paper Details

Date Published: 5 February 2004
PDF: 8 pages
Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.511239
Show Author Affiliations
Konstantinos G. Karantzalos, National Technical Univ. of Athens (Greece)

Published in SPIE Proceedings Vol. 5238:
Image and Signal Processing for Remote Sensing IX
Lorenzo Bruzzone, Editor(s)

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