Abstract Characterization of individual trees is essential for many applications in forest management and ecology. Previous studies relied on single tree detection from …
Scan-to-BIM of existing buildings is in high demand by the construction industry. However, these models are costly and time-consuming to create. The automation of this process is still …
The opportunities now afforded by increasingly available, dense, aerial urban LiDAR point clouds (greater than100 pts/m2) are arguably stymied by their sheer size, which precludes …
C Wen, L Yang, X Li, L Peng, T Chi - ISPRS journal of photogrammetry and …, 2020 - Elsevier
Point cloud classification plays an important role in a wide range of airborne light detection and ranging (LiDAR) applications, such as topographic map**, forest monitoring, power …
Y Park, JM Guldmann - Computers, environment and urban systems, 2019 - Elsevier
The increasing availability of open geospatial data, such as building footprint vector data and LiDAR (Light Detection and Ranging) point clouds, has provided opportunities to …
The semantic labeling of the urban area is an essential but challenging task for a wide variety of applications such as map**, navigation, and monitoring. The rapid advance in …