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基于稀疏采样技术的激光雷达三维成像方法研究 被引量:5

Three-dimensional imaging method of lidar based on sparse sampling technique
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摘要 为提高基于距离选通的三维成像激光雷达成像效率及实时性,提出了一种由CCD单帧曝光图像反演获取场景三维和强度信息的方法,应用于距离选通激光雷达成像系统。提出的方法利用稀疏采样矩阵对回波信号进行编码,用相关算法对距离进行解码,用压缩感知技术对信息进行复原。通过模拟仿真与室内成像实验对所提方法进行了研究,结果表明提出的方法能有效降低数据量,提高系统成像效率。 In order to improve the imaging efficiency and real-time performance of three-dimensional (3D) imaging lidar based on range gating technique, a method to obtain the 3D and intensity information by retrieving the single CCD exposure image is proposed, which is applied to the range gating imaging lidar system. In the proposed method, the echo signal is encoded by sparse sampling matrix, correlation algorithm is used to decode the distance, and the compressed sensing technique is applied to recover the information. The proposed method is investigated by simulation and laboratory imaging experiments, and results show that it can effectively reduce the data amount and improve the system imaging efficiency.
作者 吕申龙 时东锋 胡顺星 LU Shenlon1,2, Sill Dongfeng1, HU Shunxin1 ( 1 Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; 2 University of Science and Technology of China, Hefei 230026, China )
出处 《量子电子学报》 CAS CSCD 北大核心 2018年第1期95-101,共7页 Chinese Journal of Quantum Electronics
基金 国家自然科学基金,11404344
关键词 图像处理 三维成像 距离选通 稀疏采样 压缩感知 image processing three-dimensional imaging range gating sparse sampling compressed sensing
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