| 激光与红外融合目标检测 |
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| 引用本文： | 韩义波,杨新锋,滕书华,庄祉昀.激光与红外融合目标检测[J].红外与激光工程,2018,47(8):804005-0804005(7). |
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| 作者姓名： | 韩义波 杨新锋 滕书华 庄祉昀 |
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| 作者单位： | 1.南阳理工学院 软件学院,河南 南阳 473004; |
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| 基金项目： | 国家自然科学基金（61471371）;湖南省自然科学基金（2015jj3022）;河南省科技攻关项目（132102210215） |
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| 摘 要： | 针对自动目标识别需求，提出了一种激光与红外融合目标检测方法。首先介绍了基于方向显著性的红外目标检测算法，并分析了该算法的优缺点。针对该算法的缺陷，提出了一种激光与红外融合的目标检测方法，该方法将激光雷达测得的弹目距离信息引入到基于方向显著性的红外目标检测算法中，大大提高了目标检测算法的精度。仿真实验表明文中方法解决了单源红外目标检测算法对应用场景适应性不强和鲁棒性较差的诸多问题，大大提高了目标的检测率。
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| 关 键 词： | 激光雷达 红外图像 融合检测 方向显著性 |
| 收稿时间： | 2018-03-05 |
Detection of laser and infrared fusion target |
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| Affiliation: | 1.School of Software,Nanyang Institute of Technology,Nanyang 473004,China;2.School of Computer Science,Wuhan University,Wuhan 430079,China;3.College of Computer and Information Engineering,Nanyang Institute of Technology,Nanyang 473004,China;4.Science and Technology on Automatic Target Recognition Laboratory,National University of Defense Technology,Changsha 410073,China |
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| Abstract: | Aiming at requirement of automation target recognition, a new target detection method of laser and infrared fusion was studied. Firstly, the infrared target detection method based on direction saliency was introduced, and the advantages and disadvantages of the algorithm were analyzed. A laser and infrared fusion target detection algorithm was proposed. The distance information measured by lidar was incorporated into the infrared target detection algorithm based on directional saliency, which greatly improved the precision of the target detection algorithm. The simulation experiment shows that this method solves the problems of poor adaptability and robustness of single source infrared target detection algorithm, and greatly improves the detection rate of the target. |
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