Radar target recognition using superresolution range profiles as features

Xuejun Liao; Zheng Bao

doi:10.1117/12.323550

25 September 1998 Radar target recognition using superresolution range profiles as features

Xuejun Liao, Zheng Bao

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323550
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

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.

Citation Download Citation

Xuejun Liao and Zheng Bao "Radar target recognition using superresolution range profiles as features", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323550

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