UAV-Borne LiDAR Crop Point Cloud Enhancement Using Grasshopper Optimization and Point Cloud Up-Sampling Network

UAV-Borne LiDAR Crop Point Cloud Enhancement Using Grasshopper Optimization and Point Cloud Up-Sampling Network

Because of low accuracy and density of crop point clouds obtained by the Unmanned Aerial Vehicle (UAV)-borne Light Detection and Ranging (LiDAR) scanning system of UAV, an integrated navigation and positioning optimization method based on the grasshopper optimization algorithm (GOA) and a point clou...

Full description

Bibliographic Details
Main Authors: Jian Chen, Zichao Zhang, Kai Zhang, Shubo Wang, Yu Han
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
UAV-borne LiDAR scanning system
grasshopper optimization algorithm
GPS/INS integrated navigation
point cloud up-sampling network (PU-net)
clustering segmentation
3-dimensional reconstruction
Online Access:https://www.mdpi.com/2072-4292/12/19/3208

Similar Items

Similar Items