Statistical assessment of model fit for SAR sea clutter

Xiangwei Xing; Zhenlin Chen; Huanxin Zou; Shilin Zhou

doi:10.1117/12.832566

30 October 2009 Statistical assessment of model fit for SAR sea clutter

Xiangwei Xing, Zhenlin Chen, Huanxin Zou, Shilin Zhou

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74940R (2009) https://doi.org/10.1117/12.832566
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Orientated towards the application of ship detection in SAR imagery, several typical distributions used for describing the single look synthetic aperture radar (SAR) amplitude imagery and their parameter estimation methods have been summarized. Using the histogram fitting method, this paper analyzes the SAR sea clutter's statistical characteristics and carries out some statistical modeling experiments based on numerous measured SAR images. The results indicate that the log-normal and amplitude-K distributions are suitable to model the experimental data among the several distributions. These two distributions have almost the same modeling precision, but the former one's calculation is more efficient.

Citation Download Citation

Xiangwei Xing, Zhenlin Chen, Huanxin Zou, and Shilin Zhou "Statistical assessment of model fit for SAR sea clutter", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940R (30 October 2009); https://doi.org/10.1117/12.832566

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