Deep Learning Analysis of UAV Lidar Point Cloud for Individual Tree Detecting
Author:
Affiliation:
1. State University of New York College of Environmental Science and Forestry (SUNY ESF),Department of Environmental Resources Engineering,Syracuse,NY,USA,13210
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640977.pdf?arnumber=10640977
Reference15 articles.
1. Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net
2. Remotely Sensed Tree Characterization in Urban Areas: A Review
3. Assessing tree height and density of a young forest using a consumer unmanned aerial vehicle (UAV)
4. Remote Sensing Technologies for Enhancing Forest Inventories: A Review
5. A Comparative Analysis of UAV Photogrammetric Software Performance for Forest 3D Modeling: A Case Study Using AgiSoft Photoscan, PIX4DMapper, and DJI Terra
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