Aircraft recognition in low-resolution SAR imagery using peak feature matching

Zhaodong Niu; Jiameng Pan; Chenglong Lin; Zengping Chen

doi:10.1117/12.2205838

14 December 2015 Aircraft recognition in low-resolution SAR imagery using peak feature matching

Zhaodong Niu, Jiameng Pan, Chenglong Lin, Zengping Chen

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120P (2015) https://doi.org/10.1117/12.2205838
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Aircraft recognition is of great theoretical and practical significance in fields like remote sensing, navigation and traffic monitoring. It seems difficult to recognize aircraft in low-resolution SAR imagery because of difference between real image and simulated template induced by poor image quality and inherent simulation error. Aiming at this problem, an aircraft recognition method using peak feature matching is proposed. Firstly, the scattering centers of detected target are extracted in low-resolution SAR imagery using an adaptive threshold. Secondly, the extracted peak features are used to estimate the aircraft azimuth angle, which can be used to reduce the searching space in template database dramatically. Finally, a novel peak feature matching method using spatial distribution information of entire peak set is proposed to measure the similarity between detected target and simulated template. Experimental results demonstrate the good performance of the proposed method on a variety of low-resolution SAR imageries.

Citation Download Citation

Zhaodong Niu, Jiameng Pan, Chenglong Lin, and Zengping Chen "Aircraft recognition in low-resolution SAR imagery using peak feature matching", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120P (14 December 2015); https://doi.org/10.1117/12.2205838

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