飞控与探测2026，Vol.9Issue(1)：99-107,9.DOI:10.20249/j.cnki.2096-5974.2026.01.008
基于噪声水平计算的单光子激光雷达图像重构算法
Single-Photon LiDAR Image Reconstruction Algorithm Based on Noise Level Calculation
摘要
Abstract
Target reconstruction and separation from background under low SNR are key issues in the current image reconstruction task.Photon waveform correction is an effective method to reduce photon accumulation,but it has the problems of tail noise accumulation and long running time when reconstructing at a low frame rate.The runtime is positively correlated with the length of the gating acquisition time channel,which makes it difficult to meet the needs of real-time re-construction.Based on the formula of waveform correction and the uniform distribution of back-ground noise in the time domain,the paper proposed a signal-filtering algorithm based on noise calculation and an image-filtering algorithm based on region growth.The experimental results show that compared to the waveform correction method,the proposed signal filtering algorithm in this paper has a shorter running time,and achieves a target recovery degree that is more than 1.2 times that of the matching filtering method.The target recovery degree of the image filtering algo-rithm is increased to more than 1.4 times compared to the variance feature separation.The combi-nation of a signal filtering algorithm and an image filtering algorithm improves the separation effect between the target and the background in the aerospace background.关键词
噪声抑制/背景分离/图像重构/区域生长/单光子激光雷达Key words
noise suppression/background separation/image reconstruction/area growth/single-photon LiDAR分类
信息技术与安全科学引用本文复制引用
宋金环,夏团结,孙剑峰,周鑫,陆威,徐冰清,李曜均..基于噪声水平计算的单光子激光雷达图像重构算法[J].飞控与探测,2026,9(1):99-107,9.基金项目
中国航天科技集团有限公司第八研究院产学研合作基金资助项目(SAST2023-054) （SAST2023-054）
