摘要
穿透叶簇的VHF/UHF超宽带(UWB)SAR具有相对带宽很宽,积累角大的特点,可同时获得距离、方位两个方向的高分辨能力,能用于探测叶簇隐蔽的军用车辆等人造目标而有着重要的军事应用价值。在多孔径SAR成像的基础上,本文用隐马尔可夫模型对人造目标和叶簇等杂波建模,可有效地检测目标,实现一个ATR系统的预筛选处理。
Foliage penetrating VHF/UHF Ultra-WideBand (UWB) SAR can image hidden man-made targets such as military vehicles with wide-angle and ultra-wideband to achieve high resolutions in both range and azimuth, which has great military application value. Exploiting several multi-aperture SAR images, HMMs for man-made object and foliage clutter are developed separately in the paper, which can be utilized in detecting targets effectively to realize the pre-screening process in a ATR system.
关键词
合成孔径雷达
多孔径
隐马尔可夫模型
目标检测
Synthetic aperture radar (SAR), Multi-Aperture SAR (MASAR) image, Hidden Markov Model (HMM), Target detection
