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A Relative-Average-Error Based HRRP Target Recognition Algorithm |
Zhou Nuo; Chen Wei |
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China |
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Abstract Similarity computation is one of the significant issue in Template-Matching-Method (TMM) based high range resolution automatic target recognition. This paper demonstrates error computation and similarity measurement metrics in similarity computation, and proposes a Relative-Average-Error (RAE) based similarity algorithm employed in TMM. The experiment result shows that, comparing with the widely used Absolute-Mean-Square-Error (AMSE) based TMM, RAE based TMM obtains higher probability of correct classification (Pcc) and more robust recognition ability. Meanwhile, in application, RAE could be an effective solution to take the tradeoff of higher Pcc and less saving memory space for templates.
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Received: 24 April 2009
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Corresponding Authors:
Zhou Nuo
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