A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) demonstrates significant advantages in retrieving surface elevation. However, its unique photon-counting detection mechanism and vertical profiling introduce substantial noise, particularly nonrandom noise from multiple scattering and specula...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
|
| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2539952 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|