An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones
The intertidal zone, as a dynamic ecosystem at the interface of land and sea, plays a critical role in environmental protection and disaster mitigation. The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is equipped with the Advanced Topographic Laser Altimeter System (ATLAS) with the ability...
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MDPI AG
2024-12-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/12/1/13 |
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| author | Cheng Wu Lei Ding Lin Cong Shaoning Li |
| author_facet | Cheng Wu Lei Ding Lin Cong Shaoning Li |
| author_sort | Cheng Wu |
| collection | DOAJ |
| description | The intertidal zone, as a dynamic ecosystem at the interface of land and sea, plays a critical role in environmental protection and disaster mitigation. The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is equipped with the Advanced Topographic Laser Altimeter System (ATLAS) with the ability to penetrate the water bodies, enabling its use for bathymetric measurements. However, the complex land cover types and frequent environmental changes in intertidal zones pose significant challenges for precise measurement and dynamic monitoring. In an effort to address the denoising challenges of ICESat-2 photon point cloud data in such complex environments, this study proposes an adaptive photon denoising method that is capable of dynamically adjusting the denoising strategy for different types of photon data. ATL03 data from four typical intertidal zones were selected for denoising experiments. The results indicated that the proposed adaptive denoising method achieved average recall, precision, and F-score values of 0.9885, 0.9927, and 0.9906, respectively, demonstrating excellent denoising performance and stability. This method provides an effective data processing approach for high-precision monitoring of intertidal zone topography. |
| format | Article |
| id | doaj-art-318f04a29df24076930c8b944a76e44f |
| institution | Kabale University |
| issn | 2304-6732 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Photonics |
| spelling | doaj-art-318f04a29df24076930c8b944a76e44f2025-01-24T13:46:11ZengMDPI AGPhotonics2304-67322024-12-011211310.3390/photonics12010013An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal ZonesCheng Wu0Lei Ding1Lin Cong2Shaoning Li3Key Laboratory of SmartEarth, Beijing 100029, ChinaSpace Star Technology Co., Ltd., Xi’an 710016, ChinaKey Laboratory of SmartEarth, Beijing 100029, ChinaNational-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, ChinaThe intertidal zone, as a dynamic ecosystem at the interface of land and sea, plays a critical role in environmental protection and disaster mitigation. The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is equipped with the Advanced Topographic Laser Altimeter System (ATLAS) with the ability to penetrate the water bodies, enabling its use for bathymetric measurements. However, the complex land cover types and frequent environmental changes in intertidal zones pose significant challenges for precise measurement and dynamic monitoring. In an effort to address the denoising challenges of ICESat-2 photon point cloud data in such complex environments, this study proposes an adaptive photon denoising method that is capable of dynamically adjusting the denoising strategy for different types of photon data. ATL03 data from four typical intertidal zones were selected for denoising experiments. The results indicated that the proposed adaptive denoising method achieved average recall, precision, and F-score values of 0.9885, 0.9927, and 0.9906, respectively, demonstrating excellent denoising performance and stability. This method provides an effective data processing approach for high-precision monitoring of intertidal zone topography.https://www.mdpi.com/2304-6732/12/1/13photon-counting LiDAR altimetryintertidal zoneadaptive denoisingICESat-2accuracy analysis |
| spellingShingle | Cheng Wu Lei Ding Lin Cong Shaoning Li An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones Photonics photon-counting LiDAR altimetry intertidal zone adaptive denoising ICESat-2 accuracy analysis |
| title | An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones |
| title_full | An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones |
| title_fullStr | An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones |
| title_full_unstemmed | An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones |
| title_short | An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones |
| title_sort | adaptive denoising method for photon counting lidar point clouds application in intertidal zones |
| topic | photon-counting LiDAR altimetry intertidal zone adaptive denoising ICESat-2 accuracy analysis |
| url | https://www.mdpi.com/2304-6732/12/1/13 |
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