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2D/3D 距离选通成像的低对比度目标探测
引用本文:王新伟,曹忆南,刘超,孔庆善,崔伟,周燕,李友福.2D/3D 距离选通成像的低对比度目标探测[J].红外与激光工程,2014,43(9):2854-2859.
作者姓名:王新伟  曹忆南  刘超  孔庆善  崔伟  周燕  李友福
作者单位:1.中国科学院半导体研究所光电系统实验室,北京100083;
基金项目:国家自然科学基金(61205019);香江学者计划(XJ2012046)
摘    要:低对比度目标探测在司法取证、反恐维安、远距离监控、搜救等应用中具有重要意义,然而传统二维成像方法则难以对其有效探测。由此,提出了基于2D/3D 距离选通成像探测低对比度目标的方法:通过2D 距离选通成像直接获取目标无背景或背景部分滤除的二维选通图像,从而突显目标,简化目标提取图像处理;当复杂背景无法有效滤除时,可进一步通过3D 距离选通成像重建二维选通图像中丢失的三维空间信息,通过距离图区分目标与背景,实现目标有效探测。在该方法中,3D 距离选通成像是基于上述二维选通图像采用超分辨率三维成像反演实现的,因此无需耗时获取新数据,从而提高了实时性,并压缩了数据量。研究和实验表明:该方法可有效解决低对比度目标探测问题,在低照度及恶劣天气环境下均可有效工作。

关 键 词:距离选通成像    低对比度目标    三维成像
收稿时间:2014-01-05

Low contrast target detection based on 2D/3D range-gated imaging
Affiliation:1.Optoelectronic System Laboratory,Institute of Semiconductors,Chinese Academy of Sciences,Beijing 100083,China;2.Department of Mechanical and Biomedical Engineering,City University of Hong Kong,Hong Kong 00852,China
Abstract:Low contrast target detection is important in the applications of evidence gathering, protection from terrorists, remote surveillance, search and rescue, but it is difficult to detect by traditional imaging techniques. 2D/3D range-gated imaging(RGI) was proposed to detect low contrast targets. In our method, 2D range-gated imaging can output two-dimensional gate images of targets with background filtered or partly filtered to silhouette targets and simplify image processing of target extraction. If background is complex in gate images, 3D range-gated imaging can further reconstruct the spatial depth information collapsed in two-dimensional gate images, and then target can be easily distinguished from background by the depth map of target in a scene. Note that 3DRGI is realized by supperresolution depth mapping only based on the data of 2DRGI and there is no need to take time to get new data like depth scanning. Therefore, real-time performance is improved, and data volume is also reduced. Our research and experiments demonstrate that 2D/3D range-gated imaging is effective for low contrast target detection, even under low light or bad weather conditions.
Keywords:
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