Exploring State Space Models in LiDAR Point Cloud Segmentation
Mamba has achieved significant success in various fields due to its ability to efficiently model long-range dependencies with linear complexity. However, its application in LiDAR point cloud processing is still in its early stages, facing challenges such as unordered and irregular data structures. I...
Saved in:
| Main Authors: | D. Lu, L. Xu, R. Wang, J. Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1015/2025/isprs-archives-XLVIII-G-2025-1015-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A segmentation method for LiDAR point clouds of aerial slender targets
by: Birong Huang, et al.
Published: (2025-01-01) -
Ground Segmentation Algorithm for Sloped Terrain and Sparse LiDAR Point Cloud
by: Victor Jimenez, et al.
Published: (2021-01-01) -
Multi-Neighborhood Sparse Feature Selection for Semantic Segmentation of LiDAR Point Clouds
by: Rui Zhang, et al.
Published: (2025-07-01) -
Automated depth correction of bathymetric LiDAR point clouds using PointCNN semantic segmentation
by: Ovi Paul, et al.
Published: (2025-08-01) -
DLAFNet: Direct LiDAR-Aerial Fusion Network for Semantic Segmentation of 2-D Aerial Image and 3-D LiDAR Point Cloud
by: Wei Liu, et al.
Published: (2025-01-01)