HRR radar aircraft identification method based statistical feature

Yicheng Jiang; Chunhai Yao; Ping Cheng

doi:10.1117/12.441667

24 September 2001 HRR radar aircraft identification method based statistical feature

Yicheng Jiang, Chunhai Yao, Ping Cheng

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441667
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

A statistical feature based classifier is presented for high range resolution (HRR) radar aircraft identification. The match score method is utilized to correct the range migration of range profiles. The primary statistics required to determine are the peak location probability function and the peak amplitude probability density function. A single peak's belief can be obtained basing on them. The Dempster- Shafter evidence theory is used in multipeak fusion to get last belief, basing on which decision of identification are made. The experimental results from real radar aircraft data demonstrate that a high probability of correct identification can be obtained using the method proposed in this paper and fusion of 2-look can indeed improve the probability of correct identification.

Citation Download Citation

Yicheng Jiang, Chunhai Yao, and Ping Cheng "HRR radar aircraft identification method based statistical feature", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441667

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