Abstract:Unmanned aerial vehicle Point cloud Classification Random forestToday, unmanned aerial vehicle (UAV)-based images have become an important data sources for researchers who deals with mapping from various disciplines on photogrammetry and remote sensing. Reconstruction of an area with three-dimensional (3D) point clouds from UAV-based images are an essential process to be used for traditional 2D cadastral maps or to produce a topographic maps. Point clouds should be classified since they subjected to various an… Show more
“…Thus, the regression output from RF effectively represents the average of all regression trees grown in parallel without pruning [59]. The iterative nature of RF gives it a distinct advantage over other methods in that the data is effectively bootstrapped, thus feeding random subsets of the training data, to obtain more robust predictions and reducing the correlation between trees [60].…”