Planar Target Location Based on the Zoning K-means Clustering

This paper presents planar target location methods based on zoning K-means clustering aiming at the impact of the noise points and missing data to planar target.The formula of elimination to larger noise points is derived based on the distance constraints between the target and the station.The second elimination of noise points is added to the paper on the basis of the Total Least-squares fit planar.The zoning and cluster of point cloud data is conducted after removing noise points,and the center of each zoning is determined by the mean processing of cluster center of each zoning.The target center is determined by calculating the mean of different zoning center.The experimental results demonstrate that the planar target location model based on the zoning K-means clustering is suited for the determined of the planar target conjugate.