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《Chinese Journal of Lasers》 2005-10
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A Kind of Filter Algorithms for Lidar Intensity Image Based on Evenness Terrain

LAI Xu-dong,WAN You-chuan(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan,Hubei 430079,China)  
Lidar(light detection and ranging) is a relatively new method for the acquisition of terrain surface.The lidar system not only generates the 3-dimensional cloud of points with irregular spacing,but also gets the laser impulse reflection data.Algorithms and software used for the lidar data are used to deal with the 3-dimensional cloud of points,and get the digital terrain model(DTM).Algorithms applied in the laser impulse reflection data are little.According to the character of lidar data,which fused the 3-dimension information and intensity information in pixel-level,a new fusion filtering algorithm based on the flatness of terrain is proposed in this paper.The algorithm translates the intensity information of lidar data into intensity image,and then uses a new fusion mean filter which fused the elevation information of each pixel′s neighborhood,to deal with the intensity image.The algorithm and mean filtering algorithm are applied in lidar data,and their results are compared in different evaluation parameters.The result shows that the proposed algorithm has some improvement in keeping the advantage of mean filtering algorithm under the condition of preserving unclear edges of the image.
【CateGory Index】: TN958.98;
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