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Proceedings Paper

Radar target recognition using superresolution range profiles as features
Author(s): Xuejun Liao; Zheng Bao
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Paper Abstract

In this paper, we propose a scheme of using superresolution range profiles (SRRP) as features to recognize radar targets and present an algorithm for SRRP's matching. The superresolution property of SRRP's relax their dependence on aspect and achieve a larger allowable aspect increment for the SRRP templates to fully characterize the target. The template library is reduced to a small size and the matching process is accelerated. Performance of our scheme is evaluated using a dataset of three scaled aircraft models. The experimental results show that the reduced template library can still achieve high recognition rates.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323550
Show Author Affiliations
Xuejun Liao, Xidian Univ. (United States)
Zheng Bao, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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