量子电子学报, 2018, 35 (1): 95, 网络出版: 2018-01-30
基于稀疏采样技术的激光雷达三维成像方法研究
Three-dimensional imaging method of lidar based on sparse sampling technique
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
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。
Abstract
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.
吕申龙, 时东锋, 胡顺星. 基于稀疏采样技术的激光雷达三维成像方法研究[J]. 量子电子学报, 2018, 35(1): 95. LU Shenlong, SHI Dongfeng, HU Shunxing. Three-dimensional imaging method of lidar based on sparse sampling technique[J]. Chinese Journal of Quantum Electronics, 2018, 35(1): 95.