GENERATING SYNTHETIC 3D POINT SEGMENTS FOR IMPROVED CLASSIFICATION OF MOBILE LIDAR POINT CLOUDS
Mobile lidar point clouds are commonly used for 3d mapping of road environments as they provide a rich, highly detailed geometric representation of objects on and around the road. However, raw lidar point clouds lack semantic information about the type of objects, which is necessary for various appl...
Main Authors: | S. A. Chitnis, Z. Huang, K. Khoshelham |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/139/2021/isprs-archives-XLIII-B2-2021-139-2021.pdf |
Similar Items
-
A TWO-STEP CLASSIFICATION APPROACH TO DISTINGUISHING SIMILAR OBJECTS IN MOBILE LIDAR POINT CLOUDS
by: H. He, et al.
Published: (2017-09-01) -
Object points extraction and classification of mobile LiDAR point clouds
by: LIU Hua
Published: (2020-11-01) -
AIRBORNE LIDAR POINT CLOUD CLASSIFICATION FUSION WITH DIM POINT CLOUD
by: M. Zhou, et al.
Published: (2020-08-01) -
Segmentation of LiDAR Point Clouds
by: MiaoWang, et al.
Published: (2011) -
Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests
by: Huan Ni, et al.
Published: (2017-03-01)