气候变化领域集成服务门户(CCPortal): A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering

CCPortal

DOI	10.1016/j.rse.2021.112326
	A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering
	Chen Y.; Le Y.; Zhang D.; Wang Y.; Qiu Z.; Wang L.
发表日期	2021
ISSN	00344257
卷号	256
英文摘要	The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), equipped with the advanced topographic laser altimeter system (ATLAS), is a new measurement strategy that includes a photon-counting technique. Employing such an advanced system facilitates highly accurate measurement of changes in the land surface of the Earth, as well as water depths, thereby providing a novel opportunity for nearshore bathymetry. The main problem in photon-counting bathymetry is the precise identification and separation of photons with different density distributions on the water surface and water-column. Further, automatic detection of the signal photon of the water surface and bottom from the noise photon presents a problem. To overcome such problems, we propose a novel, validated, adaptive variable ellipse filtering bathymetric method (AVEBM). This method can precisely identify and separate the photons in the above-water, water surface, and water-column regions. Filter parameters can be determined automatically by the density distribution of photons in different water environments and water depths, and the signal photons of the water surface and bottom can be detected precisely to conduct bathymetry. To ensure and improve the accuracy and reliability of the AVEBM, datasets of different photon densities were selected and employed in conducting experiments. Further, we used in situ data and remote sensing images to validate and estimate the detection accuracy of the signal photon and bathymetric accuracy. The experimental results indicated that bathymetric accuracy based on the AVEBM method reached 0.48 m of root mean square error (RMSE) when we employed three ATL03 datasets in combination for Qilianyu Islands. Moreover, the bathymetric accuracy reached 0.79 m of RMSE when comparing with the SDB result in Shanhu Island. Results showed that the proposed AVEBM method facilitated highly accurate signal photon detection and bathymetry. © 2021 Elsevier Inc.
英文关键词	ATLAS; Bathymetry; Ellipse filtering; ICESat-2; Photon counting
语种	英语
scopus关键词	Adaptive filtering; Aneroid altimeters; Bathymetry; Hydrographic surveys; Landforms; Mean square error; Radio altimeters; Remote sensing; Signal detection; Surface waters; Automatic Detection; Density distributions; Different densities; Land elevation satellites; Measurement strategies; Remote sensing images; Root mean square errors; Water environments; Photons; accuracy assessment; altimeter; bathymetry; detection method; ICESat; island; land surface; lidar; China; Venustaconcha ellipsiformis
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178931
作者单位	School of Computer Science, China University of Geosciences (Wuhan), 388 Lumo Road, Wuhan, 430074, China; School of Geography and Information Engineering, China University of Geosciences (Wuhan), 388 Lumo Road, Wuhan, 430074, China; Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), 388 Lumo Road, Wuhan, 430074, China; Research Center for Ocean Mapping and Applications, Shanghai Ocean University, Shanghai, 200090, China
推荐引用方式 GB/T 7714	Chen Y.,Le Y.,Zhang D.,et al. A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering[J],2021,256.
APA	Chen Y.,Le Y.,Zhang D.,Wang Y.,Qiu Z.,&Wang L..(2021).A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering.Remote Sensing of Environment,256.
MLA	Chen Y.,et al."A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering".Remote Sensing of Environment 256(2021).