Proceedings Paper
Statistical assessment of model fit for SAR sea clutter| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940R (30 October 2009); doi: 10.1117/12.832566
Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
PDF: 6 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940R (30 October 2009); doi: 10.1117/12.832566
Show Author Affiliations
Xiangwei Xing, National Univ. of Defense Technology (China)
Zhenlin Chen, Naval Aeronautical Engineering Institute (China)
Zhenlin Chen, Naval Aeronautical Engineering Institute (China)
Huanxin Zou, National Univ. of Defense Technology (China)
Shilin Zhou, National Univ. of Defense Technology (China)
Shilin Zhou, National Univ. of Defense Technology (China)
Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
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