Moving target detection under sparse foliage

M. Davis
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Abstract

Foliage Penetration Radar has been used for detecting and characterizing objects under dense foliage. It normally requires a long wavelength and ultra-wideband waveforms for resolution, along with operation in a dense RF environments. However, when detection of slowly moving targets are desired in sparse foliage; a new approach is available for discriminating the vehicle, animals or people from the internal motion of foliage. This work will evaluate evolving techniques for image formation and signal processing to detect these objects.
稀疏叶下运动目标检测
叶面突防雷达已被用于对浓密叶面下的目标进行探测和表征。它通常需要长波长和超宽带波形来实现分辨率,并在密集的射频环境中运行。然而,当需要在稀疏的树叶中检测缓慢移动的目标时;从树叶的内部运动中识别车辆、动物或人是一种新的方法。这项工作将评估不断发展的图像形成和信号处理技术,以检测这些物体。
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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