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Proceedings Paper

Modeling and simulation of high-resolution SAR clutter data
Author(s): Hong Zhang; Yanzhao Wu; Chao Wang; Xiaoyang Wen
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Paper Abstract

The modeling and simulation of SAR clutter is important for Radar system design and signal processing. This paper deals with this problem in high-resolution ground clutter. Based on the theory of clutter modeling, comparisons between different probability distribution function (PDF) models and autocorrelation function (ACF) models are made, and the best model are found taking TerraSAR-X data as example. Finally simulation is made through Memoryless Non-Linear Transformation (MNLT) method based on this best fitting model. The result reveals that a mix of Rayleigh and LogNormal distribution can fit homogeneous, heterogeneous and extremely heterogeneous clutter regions. The simulation shows that MNLT method works well, and PDF and ACF model can represent SAR clutter well based on the homogeneity of texture.

Paper Details

Date Published: 22 October 2010
PDF: 9 pages
Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 78301A (22 October 2010); doi: 10.1117/12.864820
Show Author Affiliations
Hong Zhang, Ctr. for Earth Observation and Digital Earth (China)
Yanzhao Wu, Ctr. for Earth Observation and Digital Earth (China)
Chao Wang, Ctr. for Earth Observation and Digital Earth (China)
Xiaoyang Wen, Ctr. for Earth Observation and Digital Earth (China)


Published in SPIE Proceedings Vol. 7830:
Image and Signal Processing for Remote Sensing XVI
Lorenzo Bruzzone, Editor(s)

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