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A feature extraction method for synthetic aperture radar (SAR) automatic target recognition based on maximum interclass distance

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Abstract

Synthetic aperture radar (SAR) automatic target recognition is an important application in SAR. How to extract features has restricted the application of SAR technology seriously. In this paper, a new feature extraction method for SAR automatic target recognition based on maximum interclass distance is proposed, which integrates class and neighborhood information. This method can reinforce discriminative power using maximum interclass distance, so it can improve recognition rate effectively.

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Authors and Affiliations

  1. School of Electronic Engineering, University of Electronic Science and Technology of China (UESTC), Chendu, 611731, China

    Bing Wang, YuLin Huang, JianYu Yang & JunJie Wu

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  1. Bing Wang
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  2. YuLin Huang
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  3. JianYu Yang
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  4. JunJie Wu
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Correspondence to Bing Wang.

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Wang, B., Huang, Y., Yang, J. et al. A feature extraction method for synthetic aperture radar (SAR) automatic target recognition based on maximum interclass distance. Sci. China Technol. Sci. 54, 2520–2524 (2011). https://doi.org/10.1007/s11431-011-4430-0

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  • DOI: https://doi.org/10.1007/s11431-011-4430-0

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