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Proceedings Paper

SAR image de-noising by wavelet transform based on lifting scheme
Author(s): Xianwen Ding; Weigen Huang
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870R (15 November 2007); doi: 10.1117/12.748762
Show Author Affiliations
Xianwen Ding, State Oceanic Administration (China)
Weigen Huang, State Oceanic Administration (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

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