SAR image edge detection combining radon transform with RDWT

Xinyan Yang; Licheng Jiao; Jiajun Wang

doi:10.1117/12.743447

15 November 2007 SAR image edge detection combining radon transform with RDWT

Xinyan Yang, Licheng Jiao, Jiajun Wang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860K (2007) https://doi.org/10.1117/12.743447
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Xinyan Yang, Licheng Jiao, and Jiajun Wang "SAR image edge detection combining radon transform with RDWT", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860K (15 November 2007); https://doi.org/10.1117/12.743447

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