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基于可重构计算技术的实时图像识别系统研究 被引量：1

A reconfigurable computing technology based research on real-time automatic target recognition system
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摘要 提出了一种基于特征模板匹配的自动识别算法并将其在可重构平台上实现.实验表明,所设计的自动目标识别系统可以显著的提高识别率、减少识别时间并有效的降低了功耗. A feature template matching based ATR algorithm was proposed and realized on a reconfigurable computing platform. Results show that the system improves the recognition rate significantly, has better speed performances compared to a general purpose processor and reduces power consumption efficiently.
作者 王宇旸 周学海 高妍妍
机构地区 中国科学技术大学计算机科学技术系 中国科学技术大学苏州研究院嵌入式系统实验室
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2010年第5期521-525,共5页 JUSTC
基金 中国高技术研究发展(863)计划(2008AA01Z101)资助
关键词 可重构计算 自动目标识别 SVM分类器 FPGA reconfigurable computing automatic target recognition SVM classifier FPGA
分类号 TP302.1 [自动化与计算机技术—计算机系统结构]
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参考文献12

  • 1Bhanu B,Lin Y Q,Jones G,et al.Adaptive target recognition[C] //Proceedings of the IEEE Workshop on Computer Vision beyond the Visible Spectrum:Methods and Applications.Washington:IEEE Computer Society,1999:71-81.
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  • 7https://www.sdms.afrl.af.mil/datasets/mstar.
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  • 9Todman T J,Constantinides G A,wilton S J E,et al.Reconfigurable computing:architectures and design methods[J].IEE Proceedings of Computers and Digital Techniques,2005,152(2):193-207.
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中国科学技术大学学报
2010年 第5期

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