"DecHPoints. A new tool to optimize the filtering of Lidar data in urban areas ”

This is the title of the article published jointly between the University of Santiago de Compostela and the University of Azuay.

The article deals with the optimization of the Krauss and Pfeifer algorithm (Iterative Robust Interpolation Filter), where it has been possible to improve the filtering accuracy of Lidar point clouds in urban areas, in addition to reducing the influence of the multiple required parameters for these filtered.

This optimization using a hybrid algorithm shows results of the Kappa Index of 91.5%; The proposed algorithm is presented as one of the most accurate algorithms that have been applied to data from the ISPRS (International Society of Photogrammetry and Remote Sensing).

In essence, a Lidar point cloud filtering algorithm was applied to urban areas where the accuracy of the resulting objects exceeds 91.5% accuracy on a subcentometric scale, where 3D objects or models are the graphic representation of reality of the studied territory.