AUTOMATED TREE-LEVEL FOREST QUANTIFICATION USING AIRBORNE LIDAR

AUTOMATED TREE-LEVEL FOREST QUANTIFICATION USING AIRBORNE LIDAR

Traditional forest management relies on a small field sample and interpretation of aerial photography that not only are costly to execute but also yield inaccurate estimates of the entire forest in question. Airborne light detection and ranging (LiDAR) is a remote sensing technology that records poi...

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Bibliographic Details
Main Author: Hamraz, Hamid
Format: Others
Published: UKnowledge 2018
Subjects:
remote sensing
point cloud processing
horizontal/vertical segmentation
occlusion modeling
distributed computing
deep learning
Applied Statistics
Artificial Intelligence and Robotics
Computational Engineering
Forest Management
Online Access:https://uknowledge.uky.edu/cs_etds/69
https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1074&context=cs_etds

Internet

https://uknowledge.uky.edu/cs_etds/69
https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1074&context=cs_etds

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