Analysis of Large Range Dense Noise Removal Algorithm in Laser Scanning Point Cloud Data
This paper expounds a large-scale dense noise removal algorithm based on color clustering and Gaussian distribution model.The algorithm automatically detects and removes noise by performing color clustering and Gaussian distribution model fitting on point cloud data.The experimental results demonstrate the effectiveness of the algorithm.
laser scanningpoint cloud datanoise removalcolor clusteringGaussian distribution model
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万方数据
