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自动选取辅助目标的建筑物目标间接定位方法

Indirect location method for building target based on automatic selection of auxiliary target
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摘要 针对序列图像中目标因不显著、被遮挡等情况而出现的虚警或丢失问题,提出一种基于自动选取辅助目标的建筑物目标间接定位方法,提高目标跟踪稳定性。该方法首先自动选取红外图像中形状稳定、灰度显著的区域作为辅助目标。定位建筑物目标后,提取其与目标相对位置关系,之后利用该相对位置间接定位,最后融合直接识别及间接定位结果定位目标,并能实时更新辅助目标,保证其时刻处于视场中。实验结果表明:通过间接定位能解决目标虚警或丢失问题,提升目标定位过程中算法的准确性及鲁棒性。 Aiming at the false alarm or missing problems due to the insignificant and obscured targets in sequence images , an indirect localization method for building targets based on automatic selection of auxiliary targets was proposed to improve the stability of target tracking. In this method ,firstly, the region with stable shape and significant gray level in the infrared image was automatically selected as the auxiliary target. After locating the building target, its relative positional relationship with the target was extracted, and then,the relative position was used to indirectly locate the target. Finally, the target was located by fusing the result of direct target recognition and the result of indirect target location,which could update the auxiliary target timely to ensure that it is always in the field of view. The experimental result shows that the false alarm or missing problems can be solved by indirect location,and it can improve the accuracy and robustness of the algorithm during the process of target location.
作者 涂直健 张天序 桑红石 TU Zhijian;ZHANG Tianxu;SANG Hongshi(School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205,China;School of Automation, Huazhong University of Science and Technology,Wuhan 430074,China)
出处 《应用光学》 CAS CSCD 北大核心 2019年第4期603-611,共9页 Journal of Applied Optics
基金 国家自然科学基金(61671337 61433007)
关键词 红外 建筑物目标 自动选取 显著区域 辅助目标 间接定位 infrared building target automatic selection salient region auxiliary target indirect location
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  • 1王永明.连续景象匹配的后处理算法[J].宇航学报,2004,25(5):535-540. 被引量:7
  • 2余静,游志胜.自动目标识别与跟踪技术研究综述[J].计算机应用研究,2005,22(1):12-15. 被引量:38
  • 3王甜,王建民,杨树谦,田金文,金善良.红外图像自动目标识别技术发展[J].飞航导弹,2005(11):41-47. 被引量:11
  • 4马俊,曹治国.基于边缘信息的红外与可见光图像匹配技术[J].计算机与数字工程,2006,34(12):30-32. 被引量:10
  • 5Isaac Weiss.A framework for a general model-based ATR theory[C].Proceedings of SPIE,5472,2004:449-458.
  • 6XIAO Yi-jun,DING Ming-yue,ZHOU Chen-ping.Matching suitability analysis of reference map for scene matching based navigation[C].Proc of SPIE,1998,3545(9):100-103.
  • 7Jiang J,Hu X,Xu K,et al.Phase correlation-based matching method with sub-pixel accuracy for translated and rotated images[C].ICSP'02 Proceedings,2002:752-755.
  • 8Gianluca Marsiglia,Luca Fortunato,Aurora Ondini,et al.Template matching techniques for automatic IR target recognition in real and simulated scenarios:tests and evaluations[C].Proceedings of SPIE,2003,5094:159-169.
  • 9Jordi INGLADA,Frederic ADRAGNA.Automatic multi-sensor image registration by edge matching using genetic algorithms[C].IEEE Trans.International Geoscience and Remote Sensing Symposium IGARSS,2001:2313-2315.
  • 10Roche A,Malandain G,Pennec X,Ayache N.The correlation ratio as a new similarity measure for multimodal image registration[C].IEEE 1st Int.Conf Medical Image Computing and Computer-Assisted Intervention,USA:IEEE,1998:1115-1124.

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