A toolbox dedicated to the analysis of airborne SAR sea clutter data

V. Gras, C. Sintes
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Abstract

The characterization of the sea clutter spatial and statistical properties is a challenging problem for improving the detection performances of any radar system confronted with strong sea clutter perturbations. On the one hand, the use of radar scatterometry made it possible to precisely determine the behavior of the sea surface backscattering coefficient and to confirm electromagnetic models. On the other hand, the imaging of the ocean by radar has been studied extensively and has led to a mature theory of synthetic aperture radar (SAR) imaging of the ocean. Nevertheless the manipulations of SAR data are handicapped by the size of data. In order to analyze SAR data, we need a very flexible tool well adapted to these data. This paper briefly presents the inner functioning of a software (i.e. the different choices of class organization and how it is convenient to use them) based on a multilook philosophy (spectral sub bands processing) and on Octave script. Then we specify the type of operations and processings, we can perform using this software. Two examples of use are presented which show the easiness of use of this software.
专用于机载SAR海杂波数据分析的工具箱
海杂波的空间特性和统计特性表征是提高强海杂波干扰下雷达系统探测性能的重要课题。一方面,雷达散射测量的使用使得精确地确定海面后向散射系数的变化和确认电磁模式成为可能。另一方面,雷达对海洋的成像已经得到了广泛的研究,并形成了成熟的合成孔径雷达(SAR)海洋成像理论。然而,SAR数据的操作受到数据大小的限制。为了分析SAR数据,我们需要一个非常灵活的工具来适应这些数据。本文简要介绍了一个基于多视原理(谱子带处理)和Octave脚本的软件的内部功能(即类组织的不同选择和使用的便利性)。然后,我们指定了可以使用该软件执行的操作和处理类型。给出了两个使用实例,说明了该软件的易用性。
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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