Airborne radar clutter simulation using hyperspectral and LiDAR imagery

M. S. Seyfioglu, S. Gurbuz
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Abstract

A key factor degrading the performance of airborne radar is clutter. Many current clutter mitigation algorithms rely on statistical clutter models; however, such models fail to incorporate the time varying, site dependent nature of unwanted scattering. Hyperspectral imagery combined with lidar-derived elevation data offers a unique and comprehensive assessment of the radar clutter environment. Elevation data can be used to compute the range of scatters to the radar, while hyperspectral data processing can yield information on terrain features, which directly impacts electromagnetic backscattering. A simulated airborne clutter map is provided, and statistics compared to typical clutter distributions.
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基于高光谱和激光雷达图像的机载雷达杂波模拟
杂波是影响机载雷达性能的一个重要因素。当前许多杂波抑制算法依赖于统计杂波模型;然而,这样的模型不能考虑时变的、与位置相关的非期望散射特性。高光谱图像与激光雷达衍生的高程数据相结合,提供了对雷达杂波环境的独特而全面的评估。高程数据可用于计算散射体到雷达的距离,而高光谱数据处理可获得地形特征信息,这些信息直接影响电磁后向散射。给出了模拟的机载杂波图,并与典型的杂波分布进行了统计比较。
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