基于改进DBSCAN算法的ICESat-2水深提取

doi:10.13474/j.cnki.11-2246.2026.0608

测绘通报 ›› 2026, Vol. 0 ›› Issue (6): 49-54.doi: 10.13474/j.cnki.11-2246.2026.0608

• 学术研究 • 上一篇

基于改进DBSCAN算法的ICESat-2水深提取

邓富洋¹, 谢涛^1,2,3,4, 李建¹, 王超⁵, 刘晖¹, 张雪红¹, 白淑英¹

1. 南京信息工程大学遥感与测绘工程学院, 江苏南京 210044;
2. 青岛海洋科技中心区域海洋动力学与数值模拟功能实验室, 山东青岛 266200;
3. 自然资源部遥感导航一体化应用工程技术创新中心, 江苏南京 210044;
4. 江苏省协同精密导航定位与智能应用工程研究中心, 江苏南京 210044;
5. 南京信息工程大学电子与信息工程学院, 江苏南京 210044

收稿日期:2025-10-21 发布日期:2026-07-09
通讯作者: 谢涛。E-mail:xietao@nuist.edu.cn
作者简介:邓富洋(2001—),男,硕士,主要研究方向为摄影测量与遥感。E-mail:dfy202511@126.com
基金资助:
国家自然科学基金(42176180)

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

DENG Fuyang¹, XIE Tao^1,2,3,4, LI Jian¹, WANG Chao⁵, LIU Hui¹, ZHANG Xuehong¹, BAI Shuying¹

1. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Laboratory for Regional Oceanography and Numerical Modeling, Qingdao Marine Science and Technology Center, Qingdao 266200, China;
3. Technology Innovation Center for Integration Applications in Remote Sensing and Navigation, Ministry of Natural Resources, Nanjing 210044, China;
4. Jiangsu Province Engineering Research Center for Collaborative Navigation/Positioning and Smart Application, Nanjing 210044, China;
5. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

Received:2025-10-21 Published:2026-07-09

摘要/Abstract

摘要： [目的] 本文旨在解决ICESat-2激光测高数据在海底光子提取中易受噪声干扰、信号连续性不足的问题。[方法]本文提出了一种改进的密度聚类DBSCAN去噪模型。该模型在DBSCAN算法基础上引入椭圆滤波核以适配海底光子的空间分布特征,融合小簇剔除机制以去除离散噪声,并施加连续性约束策略以增强信号光子的空间连贯性。[结果]在夏威夷瓦胡岛区域的试验结果表明,本文方法能够有效提取海底光子信号,去噪精度指标R²、RMSE、MAE、MRE分别达到99.45%、0.48 m、0.38 m、14.82%。[结论]本文方法在抑制噪声与保持信号完整性方面具有明显优势,能够准确反映海底地形的空间结构特征,为海岸带水下地形探测提供了一种可靠的技术途径。

关键词: ICESat-2, 水深提取, 光子去噪, DBSCAN

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

中图分类号:

P237

邓富洋, 谢涛, 李建, 王超, 刘晖, 张雪红, 白淑英. 基于改进DBSCAN算法的ICESat-2水深提取[J]. 测绘通报, 2026, 0(6): 49-54.

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

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基于改进DBSCAN算法的ICESat-2水深提取

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

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