A novel adaptive noise filtering method for SAR images

Weibin Li; Mingyi He

doi:10.1117/12.827428

31 August 2009 A novel adaptive noise filtering method for SAR images

Weibin Li, Mingyi He

Proceedings Volume 7455, Satellite Data Compression, Communication, and Processing V; 745510 (2009) https://doi.org/10.1117/12.827428
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

In the most application situation, signal or image always is corrupted by additive noise. As a result there are mass methods to remove the additive noise while few approaches can work well for the multiplicative noise. The paper presents an improved MAP-based filter for multiplicative noise by adaptive window denoising technique. A Gamma noise models is discussed and a preprocessing technique to differential the matured and un-matured pixel is applied to get accurate estimate for Equivalent Number of Looks. Also the adaptive local window growth and 3 different denoise strategies are applied to smooth noise while keep its subtle information according to its local statistics feature. The simulation results show that the performance is better than existing filter. Several image experiments demonstrate its theoretical performance.

Citation Download Citation

Weibin Li and Mingyi He "A novel adaptive noise filtering method for SAR images", Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 745510 (31 August 2009); https://doi.org/10.1117/12.827428

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