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- W1594816610 abstract "LIDAR data often include outliers, significantly inaccurate points comparing to other points, which we should remove before processing them for various applications. Although many methods were developed to remove outliers within general data sets, when we directly applied them to LIDAR sets of numerous points, we found that these method had shown some problems with respect to the processing time and the accuracy of results. Hence, in this study, we attempted to develop an efficient algorithm to remove outliers and verify its performance. We thus developed a method based on relative differences of point densities and absolute point densities employing efficient data structures and validated this method by applying it to simulated and real data and analyzing the experimental results." @default.
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- W1594816610 date "2005-01-01" @default.
- W1594816610 modified "2023-10-07" @default.
- W1594816610 title "Outlier Detection from LIDAR Data based on the Point Density" @default.
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