Title :
Recognition of SAR image based on combined templates
Author :
Liu Kaiqi ; Wang Wenguang ; Sun Zuowei
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
Abstract :
In this paper, a new recognition algorithm of SAR image which is based on combined templates has been proposed. The new algorithm is based on the traditional mean templates recognition. We use some statistical information of the training samples to make a refusing threshold, which is expected to have the ability that can refuse the non-template-class targets effectively. Meanwhile, the proposed combined templates algorithm can re-recognize those refused targets by another target recognition method called recognition based on features of graphic image knowledge so that we can improve the final recognizing efficiency. Finally, we use MSTAR database to detect the target recognition ability, which can indicate that the algorithm we proposed is effective.
Keywords :
image recognition; radar imaging; statistical analysis; synthetic aperture radar; MSTAR database; SAR image recognition; combined templates; graphic image knowledge; mean templates recognition; nontemplate class; statistical information; target recognition; Equations; Graphics; Image recognition; Mathematical model; Target recognition; Testing; Training; Automatic Target Recognition; graphic image feature; mean templates; refusing threshold;
Conference_Titel :
Imaging Systems and Techniques (IST), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5790-6
DOI :
10.1109/IST.2013.6729707