Recognize Aircraft in ISAR Images.

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Abstract

This paper provides a novel method to recognize aircraft in Inverse Synthetic Aperture Radar (ISAR) images. The method utilizes the conspicuous scatterers located in a two-dimensional ISAR image as the feature points of aircraft to generate geometric invariants and recognize the aircraft. When the ISAR imagery is influenced by noise or target rotation, the proposed method provides an effective recognition. To alleviate the computational complexity, the ordered geometric invariants and the primary key are employed. Moreover, dynamic thresholds are applied to increase the accuracy of feature comparisons. The experimental results show that the proposed method is robust and effective to identify aircraft in ISAR images.

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ISAR image,scatterer,point-scatterer model,cross-ratio,aircraft recognition

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Search Radar Modification for Long Range Isar Target Recognition

Jarkko Kylmala,Vesa-Jukka Salminen,Antti Tuohimaa,Timo Lensu

International Radar Symposium 2013

被引用23

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【要点】：本文提供了一种新颖的方法来识别逆合成孔径雷达（ISAR）图像中的飞机。该方法利用二维ISAR图像中显著的散射点作为飞机的特征点，生成几何不变量并识别飞机。当ISAR图像受到噪声或目标旋转的影响时，该方法提供了有效的识别。为了减小计算复杂度，采用了有序的几何不变量和主key。此外，动态阈值被应用于增加特征比较的准确性。实验结果表明，所提出的方法在识别ISAR图像中的飞机方面具有鲁棒性和有效性。

【方法】：利用二维ISAR图像中显著的散射点作为飞机的特征点，生成几何不变量并识别飞机。采用有序的几何不变量和主key来减小计算复杂度。动态阈值被应用于增加特征比较的准确性。

【实验】：实验结果表明，所提出的方法在识别ISAR图像中的飞机方面具有鲁棒性和有效性。