Water depth extraction from ICESat-2 based on an improved DBSCAN algorithm

doi:10.13474/j.cnki.11-2246.2026.0608

Abstract

Abstract: [Purposes]Aiming at the problems of noise interference and insufficient signal continuity in the process of seabed photon extraction from ICESat-2 laser altimetry data.[Methods]This paper proposes an improved denoising model based on the density-based spatial clustering of applications with noise (DBSCAN)algorithm.The model introduces an elliptical filtering kernel to adapt to the spatial distribution characteristics of seabed photons,incorporates a small cluster removal mechanism to eliminate discrete noise,and applies a continuity constraint strategy to enhance the spatial coherence of the signal photons.[Findings]Experimental results in the Oahu area of Hawaii show that the proposed method can effectively extract seabed photon signals,with denoising accuracy indices reaching R²=99.45%,RMSE=0.48 m,MAE=0.38 m,and MRE=14.82%.[Conclusions]The proposed method demonstrates significant advantages in suppressing noise and maintaining signal integrity,accurately reflecting the spatial structural characteristics of seabed topography,and providing a reliable technical approach for underwater topographic mapping in coastal zones.

Key words: ICESat-2, water depth extraction, photon denoising, DBSCAN

CLC Number:

P237

DENG Fuyang, XIE Tao, LI Jian, WANG Chao, LIU Hui, ZHANG Xuehong, BAI Shuying. Water depth extraction from ICESat-2 based on an improved DBSCAN algorithm[J]. Bulletin of Surveying and Mapping, 2026, 0(6): 49-54.

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URL: http://tb.chinasmp.com/EN/10.13474/j.cnki.11-2246.2026.0608

http://tb.chinasmp.com/EN/Y2026/V0/I6/49

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