Progressive noise photons removal from ICESAT-2 data based on the characteristics of different types of noise
Removing noise photons from Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) data is crucial for various applications of the photon-counting LiDAR system. Existing methods for noise photon removal often struggle with parameter tuning, lack robustness, and may compromise accuracy across differen...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2507985 |
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