LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas

LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas

The semantic labeling of the urban area is an essential but challenging task for a wide variety of applications such as mapping, navigation, and monitoring. The rapid advance in Light Detection and Ranging (LiDAR) systems provides this task with a possible solution using 3D point clouds, which are a...

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Bibliographic Details
Main Authors: Zhen Ye, Yusheng Xu, Rong Huang, Xiaohua Tong, Xin Li, Xiangfeng Liu, Kuifeng Luan, Ludwig Hoegner, Uwe Stilla
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
ALS point clouds
semantic labeling
highly-dense urban area
benchmark dataset
Online Access:https://www.mdpi.com/2220-9964/9/7/450

Internet

https://www.mdpi.com/2220-9964/9/7/450

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