摘要
Aiming at the special need of image processing in imaging fuze, a feature extraction method based on blocking partition to target image is studied. The image can be divided into several blocks according to their connectivity and changing trends. The structure features of each block and the relationship with other blocks are extracted. In order to recognize the conditions of missile-target encounters and the key parts of the targets reliably, we introduce the FM-TS network. The learning process of the network is given. Experimental results confirm that the algorithm can accomplish target recognition effectively.
源语言 | 英语 |
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主期刊名 | 2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010 |
页 | 221-224 |
页数 | 4 |
DOI | |
出版状态 | 已出版 - 2010 |
活动 | 2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010 - Beijing, 中国 期限: 1 8月 2010 → 2 8月 2010 |
出版系列
姓名 | 2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010 |
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卷 | 2 |
会议
会议 | 2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010 |
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国家/地区 | 中国 |
市 | Beijing |
时期 | 1/08/10 → 2/08/10 |
指纹
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Wang, K., Song, C., & Deng, J. (2010). A target recognition method based on blocking partition and FM-TS network technology. 在 2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010 (页码 221-224). 文章 5626663 (2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010; 卷 2). https://doi.org/10.1109/PACCS.2010.5626663