Quality assessment of ICESat-2 ATL03 denoising data based on spatial distribution and photon weight
The Ice, Cloud, and land Elevation satellite-2 (ICESat-2) adopts an advanced single photon detection system, which is susceptible to the influence of solar background noise. There are currently multiple methods for denoising ICESat-2 photon data, but due to the availability and limitations of refere...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-08-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1421/2025/isprs-archives-XLVIII-G-2025-1421-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849247836251619328 |
|---|---|
| author | Y. Sun Y. Sun Y. Sun H. Xie X. Tong Q. Xu B. Li C. Liu M. Ji H. Tang H. Tang |
| author_facet | Y. Sun Y. Sun Y. Sun H. Xie X. Tong Q. Xu B. Li C. Liu M. Ji H. Tang H. Tang |
| author_sort | Y. Sun |
| collection | DOAJ |
| description | The Ice, Cloud, and land Elevation satellite-2 (ICESat-2) adopts an advanced single photon detection system, which is susceptible to the influence of solar background noise. There are currently multiple methods for denoising ICESat-2 photon data, but due to the availability and limitations of reference data, it is difficult to evaluate the denoising results of large-scale photon data. Therefore, in this paper, we propose a quality evaluation method that does not rely on auxiliary data. By considering the spatial distribution and photon weight, it was determined whether the signal and noise photons were extracted correctly, and the precision (P), recall (R), and F-measure (F) of the denoising results were evaluated. The results showed that for the strong beam and weak beam data obtained during the day and night, the average difference between the evaluation results of this method and the true label were 0.0177, 0.0794 and 0.0018, 0.0042, respectively. In general, the quality evaluation results of this study are very close to those of the real labels, indicating that the method in this paper can effectively evaluate the quality of the denoising results. |
| format | Article |
| id | doaj-art-8671df1cea6d4f6c8fcecdf20fbb5601 |
| institution | Kabale University |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-8671df1cea6d4f6c8fcecdf20fbb56012025-08-20T03:58:07ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342025-08-01XLVIII-G-20251421142610.5194/isprs-archives-XLVIII-G-2025-1421-2025Quality assessment of ICESat-2 ATL03 denoising data based on spatial distribution and photon weightY. Sun0Y. Sun1Y. Sun2H. Xie3X. Tong4Q. Xu5B. Li6C. Liu7M. Ji8H. Tang9H. Tang10College of Surveying and Geo-Informatics, Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, ChinaDepartment of Geography, National University of Singapore, Singapore 117570, SingaporeCentre for Nature-based Climate Solutions, National University of Singapore, Singapore 117546, SingaporeCollege of Surveying and Geo-Informatics, Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, ChinaCollege of Surveying and Geo-Informatics, Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, ChinaCollege of Surveying and Geo-Informatics, Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, ChinaCollege of Surveying and Geo-Informatics, Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, ChinaCollege of Surveying and Geo-Informatics, Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, ChinaCollege of Surveying and Geo-Informatics, Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai 200092, ChinaDepartment of Geography, National University of Singapore, Singapore 117570, SingaporeCentre for Nature-based Climate Solutions, National University of Singapore, Singapore 117546, SingaporeThe Ice, Cloud, and land Elevation satellite-2 (ICESat-2) adopts an advanced single photon detection system, which is susceptible to the influence of solar background noise. There are currently multiple methods for denoising ICESat-2 photon data, but due to the availability and limitations of reference data, it is difficult to evaluate the denoising results of large-scale photon data. Therefore, in this paper, we propose a quality evaluation method that does not rely on auxiliary data. By considering the spatial distribution and photon weight, it was determined whether the signal and noise photons were extracted correctly, and the precision (P), recall (R), and F-measure (F) of the denoising results were evaluated. The results showed that for the strong beam and weak beam data obtained during the day and night, the average difference between the evaluation results of this method and the true label were 0.0177, 0.0794 and 0.0018, 0.0042, respectively. In general, the quality evaluation results of this study are very close to those of the real labels, indicating that the method in this paper can effectively evaluate the quality of the denoising results.https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1421/2025/isprs-archives-XLVIII-G-2025-1421-2025.pdf |
| spellingShingle | Y. Sun Y. Sun Y. Sun H. Xie X. Tong Q. Xu B. Li C. Liu M. Ji H. Tang H. Tang Quality assessment of ICESat-2 ATL03 denoising data based on spatial distribution and photon weight The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Quality assessment of ICESat-2 ATL03 denoising data based on spatial distribution and photon weight |
| title_full | Quality assessment of ICESat-2 ATL03 denoising data based on spatial distribution and photon weight |
| title_fullStr | Quality assessment of ICESat-2 ATL03 denoising data based on spatial distribution and photon weight |
| title_full_unstemmed | Quality assessment of ICESat-2 ATL03 denoising data based on spatial distribution and photon weight |
| title_short | Quality assessment of ICESat-2 ATL03 denoising data based on spatial distribution and photon weight |
| title_sort | quality assessment of icesat 2 atl03 denoising data based on spatial distribution and photon weight |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1421/2025/isprs-archives-XLVIII-G-2025-1421-2025.pdf |
| work_keys_str_mv | AT ysun qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT ysun qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT ysun qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT hxie qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT xtong qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT qxu qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT bli qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT cliu qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT mji qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT htang qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight AT htang qualityassessmentoficesat2atl03denoisingdatabasedonspatialdistributionandphotonweight |