SAR image de-noising by wavelet transform based on lifting scheme

Xianwen Ding; Weigen Huang

doi:10.1117/12.748762

15 November 2007 SAR image de-noising by wavelet transform based on lifting scheme

Xianwen Ding, Weigen Huang

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870R (2007) https://doi.org/10.1117/12.748762
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, we propose a new de-noising method by wavelet transform based on lifting scheme for the reducing of the multiplicative speckles in synthetic aperture radar (SAR) images. An ERS-2 SAR image of Hangzhou was used as a test image to compare the performance of the method with that of conventional methods. The results show that the proposed method has advantages in radiation characteristics and textual details of the image over the conventional methods.

Citation Download Citation

Xianwen Ding and Weigen Huang "SAR image de-noising by wavelet transform based on lifting scheme", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870R (15 November 2007); https://doi.org/10.1117/12.748762

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