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Proceedings Paper

Integrated speckle reduction and edge detection of SAR images using overcomplete wavelet decomposition
Author(s): Punya Thitimajshima
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Paper Abstract

In this paper we propose an integration of speckle reduction and edge detection in synthetic aperture radar (SAR) images by using over complete wavelet decomposition. The input image is decomposed in multiple level without downsampling, as resolution needs to be preserved. For each subband, a threshold value is estimated according to the noise variance and used for soft-thresholding to reduce speckle. The points of sharp variation (edges) induce modulus maxima in highpass subbands, and the local maxima are detected to produce single-pixel edges. Depending on the requirement of details desired in the edges the level of decomposition can be selected. The method is successfully applied to JERS- 1/SAR images, and some experiments are given.

Paper Details

Date Published: 8 March 2002
PDF: 4 pages
Proc. SPIE 4738, Wavelet and Independent Component Analysis Applications IX, (8 March 2002); doi: 10.1117/12.458743
Show Author Affiliations
Punya Thitimajshima, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 4738:
Wavelet and Independent Component Analysis Applications IX
Harold H. Szu; James R. Buss, Editor(s)

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