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	A model-based Sonar image ATR method based on SIFT features
	Zhu, Zhaotong ; Xu, Xiaomei ; Yang, Liangliang ; Yan, Huicheng ; Peng, Shibao ; Xu, Jia ; Xu XM(许肖梅)
	2014
关键词	Automatic target recognition Computer simulation Sonar
英文摘要	Conference Name:OCEANS 2014 - Taipei. Conference Address: Taipei, Taiwan. Time:April 7, 2014 - April 10, 2014.; Sonar image automatic target recognition (ATR) is urgently needed in large-scale marine investigation. A modelbased Sonar image ATR method based on SIFT features is proposed in this paper. The proposed method can realize ATR for arbitrary shaped target by physically model 3D under water scene, generate simulated template images, extract Scale-invariant feature transform (SIFT) keypoints and matching target image and template image. Simulation result shows, the proposed method can reach relatively high probability of correct classification with small size of template library.
语种	英语
出处	http://dx.doi.org/10.1109/OCEANS-TAIPEI.2014.6964476
出版者	Institute of Electrical and Electronics Engineers Inc.
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85349]
专题	海洋环境－会议论文
推荐引用方式 GB/T 7714	Zhu, Zhaotong,Xu, Xiaomei,Yang, Liangliang,et al. A model-based Sonar image ATR method based on SIFT features. 2014-01-01.

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