Clutter analysis of high resolution millimeter-wave SAR-data in the spatial and wavelet domain

P. Wellig, Konrad Schmid, H. Essen, A. Kurz, H. Schimpf, T. Brehm
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Abstract

This paper presents the analysis of high resolution millimeter SAR clutter data, measured in a joint Swiss-German flight campaign. The generalized Gaussian function and the Kolmogorov-Smirnov test are considered to test the hypothesis of Gaussian clutter process. 35 GHz and 94 GHz data are compared. The results are presented in the time and wavelet domain, as the wavelet domain is an import transform domain for the development of terrain classification, target recognition and data compression algorithms.
高分辨率毫米波sar数据的空间和小波杂波分析
本文分析了在瑞士-德国联合飞行战役中测量的高分辨率毫米SAR杂波数据。采用广义高斯函数和Kolmogorov-Smirnov检验来检验高斯杂波过程的假设。比较了35 GHz和94 GHz的数据。由于小波域是发展地形分类、目标识别和数据压缩算法的重要变换域,因此在时间域和小波域中给出了结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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