Noise Analyzing and Processing of Streak Image for Streak Tube Imaging Lidar
条纹管激光成像雷达条纹图像噪音分析与处理

The first step of streak image processing is noise suppressing,but noise suppressing algorithms for images of traditional scanning lidar are not applicable for streak image.Through the configuration and imaging principle of streak tube imaging lidar,noise sources,noise characteristics,influencing factors,contribution to streak image and suppression methods are discussed in details.Noise source analyzing result gets verified through streak tube imaging experiment for staircase tagets.For the special processing purpose of streak image,K Nearest Neighbor Mean Filter indicates lower time and space complexity and better noise filtering performance among classical edge preserving filters.As N=7,K=25,K Nearest Neighbor Mean Filter can improve the signal-to-noise of streak image in a certain extent in tolerance time.Then threshold algorithm is used to filter background noise and streak data is obtained finally among complex noise.This work lays a foundation for the following target image reconstruction and points out the direction and keystone of the next step.