Abstract
A novel method for automatic occluded targets recognition in SAR images is proposed in this paper. Different SAR occluded targets are simulated based on actual vehicles from the MSTAR database, and are recognized using SVM classifier by grouping recognition based on the targets azimuth angles. It is shown that the proposed method outperforms the typical methods in accuracy at high occlusion, and robustness to occlusion with experiments considering accuracy and confusion matrix. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Gao, Y., Hu, R., Jiao, L., Zhou, W., & Zhang, X. (2007). Recognition of SAR occluded targets using SVM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4352 LNCS, pp. 423–432). https://doi.org/10.1007/978-3-540-69429-8_43
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