DETECTION OF SINGLE TREE STEMS IN FORESTED AREAS FROM HIGH DENSITY ALS POINT CLOUDS USING 3D SHAPE DESCRIPTORS

8 citations as recorded by crossref.

1. Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds S. Dersch et al. 10.1016/j.isprsjprs.2020.11.016
2. Automatic Detection of Individual Trees in Forests Based on Airborne LiDAR Data with a Tree Region-Based Convolutional Neural Network (RCNN) Z. Wang et al. 10.3390/rs15041024
3. Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests N. Amiri et al. 10.1016/j.isprsjprs.2018.05.006
4. Reliable Estimates of Merchantable Timber Volume from Terrestrial Laser Scanning D. Panagiotidis & A. Abdollahnejad 10.3390/rs13183610
5. Marker-free coregistration of UAV and backpack LiDAR point clouds in forested areas P. Polewski et al. 10.1016/j.isprsjprs.2018.11.020
6. ALS as Tool to Study Preferred Stem Inclination Directions S. Lamprecht et al. 10.3390/rs12223744
7. Is field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest Y. Wang et al. 10.1016/j.isprsjprs.2018.11.008
8. Detection and thinning of street trees for calculation of morphological parameters using mobile laser scanner data A. Husain & R. Vaishya 10.1016/j.rsase.2018.12.007