| 基于SURF的UAV快速目标识别算法 |
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| 引用本文： | 贾伟,张清,席庆彪,刘慧霞.基于SURF的UAV快速目标识别算法[J].计算机工程与应用,2013(23):132-136. |
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| 作者姓名： | 贾伟 张清 席庆彪 刘慧霞 |
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| 作者单位： | [1]西北工业大学第365研究所,西安710065 [2]西北工业大学自动化学院,西安710072 |
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| 基金项目： | 国家自然科学基金（No.61074155）. |
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| 摘 要： | 针对UAV（Unmanned Aerial Vehicle）侦察目标识别中的实时性和鲁棒性的要求，提出一种基于SURF（SpeededUpRobustFeatures）的快速目标识别算法。对UAV侦察图像进行预处理，采用不变矩构造遗传算法的适应度函数，利用遗传算法的全局搜索能力快速地提取可能包含目标的ROI（Region Of Interesting）区域。在ROI区域和模板图像中提取SURF特征点，采用最近邻的匹配算法搜索匹配对，从而精确确定目标的位置。仿真结果显示，该算法可以明显地提高目标识别的实时性并具有相当的鲁棒性。
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| 关 键 词： | 目标识别 无人机（UAV） 预处理 感兴趣区域（ROI） 不变矩 遗传算法 加速稳健特征（SURF） |
Fast algorithm based on SURF for UAV target identification |
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| Affiliation: | JIA Wei, ZHANG Qing, XI Qingbiao, et al.( 1.No.365 Research Institute, Northwest Polytechnical University, Xi＇an 710065, China 2.School of Automation, Northwest Polytechnical University, Xi＇an 710072, China) |
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| Abstract: | In order to solve the problem of robust identification of target in the UAV reconnaissance image in real time, a fast recognition algorithm based on Speeded Up Robust Feature（SURF） is proposed in this paper. A similar matching function using moment invariant features is constructed as the fitness function in the genetic algorithm. Then the region of interest which may contain target is selected using genetic algorithm. Speeded up robust features are taken between the ROIs and the match pair is found using nearest matching algorithm. The match pair is used to determine the location of the target accurately. The result of simulation indicates that the algorithm is not only effective on enhancing the real-time ability of identifying target, but also robust. |
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| Keywords: | target recognition Unmanned Aerial Vehicle（UAV） preprocessing Region Of Interesting（ROI） moment invari- ant genetic algorithm Speeded Up Robust Features （SURF） |
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