ALS POINT CLOUD CLASSIFICATION USING POINTNET++ AND KPCONV WITH PRIOR KNOWLEDGE
In the practical and professional work of classifying airborne laser scanning (ALS) point clouds, there are nowadays numerous methods and software applications available that are able to separate the points into a few basic categories and do so with a known and consistent quality. Further refinement...
Main Authors: | M. Kada, D. Kuramin |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-10-01
|
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/XLVI-4-W4-2021/91/2021/isprs-archives-XLVI-4-W4-2021-91-2021.pdf |
Similar Items
-
SEMANTIC SEGMENTATION OF POINT CLOUDS WITH POINTNET AND KPCONV ARCHITECTURES APPLIED TO RAILWAY TUNNELS
by: M. Soilán, et al.
Published: (2020-08-01) -
POINTNET FOR THE AUTOMATIC CLASSIFICATION OF AERIAL POINT CLOUDS
by: M. Soilán, et al.
Published: (2019-05-01) -
Multispectral LiDAR Point Cloud Classification Using SE-PointNet++
by: Zhuangwei Jing, et al.
Published: (2021-06-01) -
PointNet++ Network Architecture with Individual Point Level and Global Features on Centroid for ALS Point Cloud Classification
by: Yang Chen, et al.
Published: (2021-01-01) -
SEMANTIC LABELING OF ALS POINT CLOUDS FOR TREE SPECIES MAPPING USING THE DEEP NEURAL NETWORK POINTNET++
by: S. Briechle, et al.
Published: (2019-06-01)