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Proceedings Paper

SAR image edge detection combining radon transform with RDWT
Author(s): Xinyan Yang; Licheng Jiao; Jiajun Wang
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Paper Abstract

The Synthetic Aperture Radar (SAR) is a promising sensor to obtain high-resolution images. But the presence of speckled noise brings many difficulties to SAR image processing, especially in edge detection. The edge detection methods available cannot solve this problem perfectly. An effective edge detection algorithm based on the directional information is presented, in which, two transforms are introduced, one is Fast Slant Stack transform, a new radon transform with the advantage of speed and invertibility, the other is Redundant Discrete Wavelet Transform(RDWT) whose best performance in edge detection is shift-variance characteristic. Besides, overlapped windows and soft threshold utilized to reduce the wrong detection probability and improve the location precision. Finally, comparisons with related methods are given in this paper. Experimental results prove the proposed algorithm can obtain valid edge information in SAR images.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860K (15 November 2007); doi: 10.1117/12.743447
Show Author Affiliations
Xinyan Yang, Soochow Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Jiajun Wang, Soochow Univ. (China)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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