[1]王 兴,邵艳明,杨 波,等.基于激光雷达与红外数据融合的跟踪算法[J].红外技术,2019,41(10):947-955.[doi:doi:10.11846/j.issn.1001_8891.201910010]
 WANG Xin,SHAO Yanming,YANG Bo,et al.Target Tracking Method Based on Infrared and Laser Lidar Image Fusion[J].Infrared Technology,2019,41(10):947-955.[doi:doi:10.11846/j.issn.1001_8891.201910010]
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基于激光雷达与红外数据融合的跟踪算法
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
41卷
期数:
2019年第10期
页码:
947-955
栏目:
出版日期:
2019-10-21

文章信息/Info

Title:
Target Tracking Method Based on Infrared and Laser Lidar Image Fusion
文章编号:
1001-8891(2019)10-0947-09
作者:
王 兴12邵艳明12杨 波12刘浩伟12余 跃12
1. 上海航天控制技术研究所 上海 201109;2. 中国航天科技集团红外探测技术研发中心 上海 201109
Author(s):
WANG Xin12SHAO Yanming12YANG Bo12LIU Haowei12YU Yue12
1. Shanghai Aerospace Control Technology Institute, Shanghai201109, China;
2. China Aerospace Science and Technology Corporation Infrared Detection Technology Research and Development Center,
Shanghai 201109, China
关键词:
红外图像激光雷达一致性点漂移数据融合稳定跟踪抗干扰
Keywords:
 IR image Lidar coherent point drift data fusion stabletracking anti-interference
分类号:
TN957.52
DOI:
doi:10.11846/j.issn.1001_8891.201910010
文献标志码:
A
摘要:
 针对精确制导中目标的自动识别、稳定跟踪与抗干扰需求,提出了一种基于激光雷达与红外数据融合的目标识别与抗干扰方法。首先采用一致性点漂移(CPD)算法对目标在不同图像中的轮廓特性进行匹配,完成了激光与红外图像的配准;然后利用红外图像中目标的能量和形状信息、激光图像中的距离信息完成激光与红外图像的决策级融合;最后利用改进的核相关跟踪算法完成目标的跟踪与抗干扰。通过激光雷达与红外仿真数据的实验,验证了文中方法在目标跟踪与抗干扰性能上的有效性。
Abstract:
To meet the requirements of automatic target identification, stable tracking, and anti-jamming in precision guidance, a target identification and anti-interference method of fusing laser radar and infrared data is proposed in this study. First, the laser and the infrared images were registered using the coherent point drift(CPD) algorithm to register the contour features of the same target in different images. Then, the energy and shape information of the infrared images and the range information of the laser images were used to complete a decision-level fusion of the laser and the infrared images. Finally, the improved kernel correlation filter algorithm was adopted to achieve target tracking and anti-jamming. The effectiveness of the proposed method in target tracking and its anti-jamming performance were verified by the experimental results of laser and infrared simulation data.

参考文献/References:

[1] 王雪. 红外与可见光图像融合中的关键技术研究[D]. 成都: 电子科技大学, 2016.
WANG Xue. Study on key technology of infrared and visible image fusion[D]. Chengdu: University of Electronic Science and Technology of China, 2016.
[2] 颜洪雷. 红外与激光复合探测关键技术研究[D]. 上海: 中国科学院上海技术物理研究所, 2014.
YAN Honglei. Research on key technologies of infrared and laser compound detection[D]. Shanghai: Shanghai Institute of Technical Physics, CAS, 2014
[3] 杨杰, 汪朝群. 用于目标识别跟踪的雷达/红外成像双模传感器数据融合技术[J]. 航天控制, 1998, 16(4): 18-26.
YANG Jie, WANG Chaoqun, LU Zhenggang. Radar/infrared imaging dual-sensor data fusion techniques for target tracking[J]. Aeropace Control, 1998, 16(4): 18-26.
[4] 陆正刚, 杨杰. 结合雷达目标特征的红外成像目标识别[J]. 红外与激光工程, 1999, 28(6): 17-20.
LU Zhenggang, YANG Jie, LIN Xufeng. Target recognition using IR image and radar features[J]. Infrared and Laser Engineering, 1999, 28(6): 17-20.
[5] 李琦, 董国峰, 王骐. 用于激光成像雷达和被动红外成像复合的目标分类仿真[J]. 中国激光, 2007, 34(10): 1347-1352.
LI Qi, DONG Guofeng, WANG Qi. Object classification simulation for ladar passive infrared imaging combination[J]. Chinese Journal of Lasers, 2007, 34(10): 1347-1352.
[6] 仝选悦, 吴冉, 杨新锋, 等. 红外与激光融合目标识别方法[J]. 红外与激光工程, 2018, 47(5): 0526003.
TONG Xuanyue, WU Ran, YANG Xinfeng, et al. Fusion target recognition method of infrared and laser[J]. Infrared and Laser Engineering, 2018, 47(5): 0526003.
[7] 郝静雅. 红外/激光雷达数据融合跟踪算法研究[D]. 西安: 西安电子科技大学, 2015.
HAO Jingya. Infrared/Laser Multi-sensor Fusion and Tracking[D]. Xi’an: Xidian University, 2015.
[8] 韩义波, 杨新锋, 滕书华, 等. 激光与红外融合目标检测[J]. 红外与激光工程, 2018, 47(8): 194-200.
HAN Yibo, YANG Xinfeng, TENG Shuhua, et al. Detection of laser and infrared fusion target[J]. Infrared and Laser Engineering, 2018, 47(8): 194-200.
[9] Myronenko A, SONG X B. Point-set registration: coherent point drift[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(12): 2262-2275.
[10] 赵键, 孙即祥, 周石琳, 等. 基于全局最优的快速一致性点漂移算法[J]. 电子与信息学报, 2012, 34(3): 509-516.
ZHAO Jian, SUN Jixiang, ZHOU Shilin. Fast coherent point drift algorithm based on global optimization[J]. Journal of Electronics & Information Technology, 2012, 34(3): 509-516.
[11] 李秋华, 杜鹢. 双色红外图像目标多特征决策级融合识别算法[J]. 计算机工程与应用, 2010, 46(17): 171-175.
LI Qiuhua,DU Yi. Dual band IR image target multi-features decision level fusion recognition algorithm[J]. Computer Engineering and Applications, 2010, 46(17): 171-175.
[12] Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596.
[13] 杨德东, 蔡玉柱, 毛宁, 等. 采用核相关滤波器的长期目标跟踪[J]. 光学精密工程, 2016, 24(8): 2037-2049.
YANG Dedong, CAI Yuzhu, MAO Ning, et al. Long-term object tracking based on kernelized correlation filters[J]. Optics and Precision Engineering, 2016, 24(8): 2037-2049.


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备注/Memo

备注/Memo:
收稿日期:2018-10-15;修订日期:2018-11-28.
作者简介:王兴(1987-),女,吉林吉林人,工程师,从事红外目标检测、跟踪等图像处理相关研究,E-mail:wangxing_sasc@163.com。
通信作者:邵艳明(1988-),男,浙江金华人,工程师,研究方向为光电信息处理,E-mail:sym2012go@163.com。
更新日期/Last Update: 2019-10-23