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Proceedings Paper

Aircraft recognition in low-resolution SAR imagery using peak feature matching
Author(s): Zhaodong Niu; Jiameng Pan; Chenglong Lin; Zengping Chen
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Paper 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.

Paper Details

Date Published: 14 December 2015
PDF: 7 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120P (14 December 2015); doi: 10.1117/12.2205838
Show Author Affiliations
Zhaodong Niu, National Univ. of Defense Technology (China)
Jiameng Pan, National Univ. of Defense Technology (China)
Chenglong Lin, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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