Modeling and simulation of high-resolution SAR clutter data

Hong Zhang; Yanzhao Wu; Chao Wang; Xiaoyang Wen

doi:10.1117/12.864820

22 October 2010 Modeling and simulation of high-resolution SAR clutter data

Hong Zhang, Yanzhao Wu, Chao Wang, Xiaoyang Wen

Proceedings Volume 7830, Image and Signal Processing for Remote Sensing XVI; 78301A (2010) https://doi.org/10.1117/12.864820
Event: SPIE Remote Sensing, 2010, Toulouse, France

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.

Citation Download Citation

Hong Zhang, Yanzhao Wu, Chao Wang, and Xiaoyang Wen "Modeling and simulation of high-resolution SAR clutter data", Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 78301A (22 October 2010); https://doi.org/10.1117/12.864820

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