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Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition theorems on polarimetric ISAR images

机译:通过在极化ISAR图像上联合使用相干和非相干目标分解定理来增强ATR

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摘要

An Automatic Target Recognition (ATR) algorithm is presented in this paper that is based on the use of polarimetric ISAR (Pol-ISAR) images and Target Decomposition (TD) theory. Specifically both Coherent Target Decomposition (CTD) and InCoherent Target Decomposition (ICTD) methods are used here to extract features from Pol-ISAR images. The two methods are used here jointly to overcome their weaknesses when used separately.
机译:本文基于极化ISAR(Pol-ISAR)图像和目标分解(TD)理论,提出了一种自动目标识别(ATR)算法。具体而言,此处使用相干目标分解(CTD)和不相干目标分解(ICTD)方法来从Pol-ISAR图像中提取特征。在单独使用时,此处结合使用这两种方法来克服它们的缺点。

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