Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo Images
Laser altimetry data from the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) contain a lot of noise, which necessitates the requirement for a signal photon extraction method. In this study, we propose a density clustering method, which combines slope and elevation information from optical ste...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/21/8752 |
| _version_ | 1797631337535897600 |
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| author | Linyu Gu Dazhao Fan Song Ji Zhihui Gong Dongzi Li Yang Dong |
| author_facet | Linyu Gu Dazhao Fan Song Ji Zhihui Gong Dongzi Li Yang Dong |
| author_sort | Linyu Gu |
| collection | DOAJ |
| description | Laser altimetry data from the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) contain a lot of noise, which necessitates the requirement for a signal photon extraction method. In this study, we propose a density clustering method, which combines slope and elevation information from optical stereo images and adaptively adjusts the neighborhood search direction in the along-track direction. The local classification density threshold was calculated adaptively according to the uneven spatial distribution of noise and signal density, and reliable surface signal points were extracted. The performance of the algorithm was validated for strong and weak beam laser altimetry data using optical stereo images with different resolutions and positioning accuracies. The results were compared qualitatively and quantitatively with those obtained using the ATL08 algorithm. The signal extraction quality was better than that of the ATL08 algorithm for steep slope and low signal-to-noise ratio (SNR) regions. The proposed method can better balance the relationship between recall and precision, and its F<sub>1</sub>-score was higher than that of the ATL08 algorithm. The method can accurately extract continuous and reliable surface signals for both strong and weak beams among different terrains and land cover types. |
| first_indexed | 2024-03-11T11:21:24Z |
| format | Article |
| id | doaj.art-6ebbb26f397a4d489cb250828eb31c9b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T11:21:24Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6ebbb26f397a4d489cb250828eb31c9b2023-11-10T15:11:55ZengMDPI AGSensors1424-82202023-10-012321875210.3390/s23218752Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo ImagesLinyu Gu0Dazhao Fan1Song Ji2Zhihui Gong3Dongzi Li4Yang Dong5Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, ChinaLaser altimetry data from the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) contain a lot of noise, which necessitates the requirement for a signal photon extraction method. In this study, we propose a density clustering method, which combines slope and elevation information from optical stereo images and adaptively adjusts the neighborhood search direction in the along-track direction. The local classification density threshold was calculated adaptively according to the uneven spatial distribution of noise and signal density, and reliable surface signal points were extracted. The performance of the algorithm was validated for strong and weak beam laser altimetry data using optical stereo images with different resolutions and positioning accuracies. The results were compared qualitatively and quantitatively with those obtained using the ATL08 algorithm. The signal extraction quality was better than that of the ATL08 algorithm for steep slope and low signal-to-noise ratio (SNR) regions. The proposed method can better balance the relationship between recall and precision, and its F<sub>1</sub>-score was higher than that of the ATL08 algorithm. The method can accurately extract continuous and reliable surface signals for both strong and weak beams among different terrains and land cover types.https://www.mdpi.com/1424-8220/23/21/8752ICESat-2satellite stereo imagesdense matching cloudslopeDBSCANnoise removal |
| spellingShingle | Linyu Gu Dazhao Fan Song Ji Zhihui Gong Dongzi Li Yang Dong Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo Images Sensors ICESat-2 satellite stereo images dense matching cloud slope DBSCAN noise removal |
| title | Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo Images |
| title_full | Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo Images |
| title_fullStr | Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo Images |
| title_full_unstemmed | Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo Images |
| title_short | Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo Images |
| title_sort | signal photon extraction method for icesat 2 data using slope and elevation information provided by stereo images |
| topic | ICESat-2 satellite stereo images dense matching cloud slope DBSCAN noise removal |
| url | https://www.mdpi.com/1424-8220/23/21/8752 |
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