Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments
Topographic processes, such as sediment erosion, accumulation, and transport are crucial for understanding the evolution of natural landscapes. Current developments in permanent laser scanning (PLS) technology and 4D change detection methods have made it possible to extract spatiotemporal change obj...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/929/2025/isprs-annals-X-G-2025-929-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|