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PIER PIER B PIER C PIER M PIER Letters
2012-12-12
A Multi-Scale Local Phase Quantization Plus Biomimetic Pattern Recognition Method for SAR Automatic Target Recognition
By
Yikui Zhai,

    Dr. Yikui Zhai

    School of Electronics Information and Engineering

    Beihang University; Wuyi University

    China

    Homepage

Jingwen Li,

    Dr. Jingwen Li

    Beihang University

    China

    Homepage

Junying Gan,

    Dr. Junying Gan

    School of Information and Engineering

    Wuyi University

    China

    Homepage

Zilu Ying

    Dr. Zilu Ying

    School of Information and Engineering

    Wuyi University

    China

    Homepage

Progress In Electromagnetics Research, Vol. 135, 105-122, 2013
doi:10.2528/PIER12100301
Abstract
Synthetic aperture radar (SAR) automatic target recognition (ATR) has been receiving more and more attention in the past two decades. But the problem of how to overcome SAR target ambiguities and azimuth angle variations has still left unsolved. In this paper, a multi-scale local phase quantization plus biomimetic pattern recognition (BPR) method is presented to solve these two difficuties. By applying multiple scales local phase quantization (LPQ) on the observed SAR images, the blur and azimuth invariant features can be extracted, and these features are fusion with consecutive multiple scales to achieve better results. Then PCA method is applied to further reduce the feature dimension and achieve its efficiency. Finally, high dimensional space geometry covering method based on BPR theory is adopted to construct hyper sausage neuron links for target recognition. Experiments on the MSTAR database show that the proposed method can achieve satisfying recognition accuracy compared with other state-of-the-art methods.
Citation
Yikui Zhai, Jingwen Li, Junying Gan, and Zilu Ying, "A Multi-Scale Local Phase Quantization Plus Biomimetic Pattern Recognition Method for SAR Automatic Target Recognition," Progress In Electromagnetics Research, Vol. 135, 105-122, 2013.
doi:10.2528/PIER12100301
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