光子
噪音(视频)
滤波器(信号处理)
降噪
遥感
信号(编程语言)
光子计数
计算机科学
物理
光学
地质学
人工智能
计算机视觉
图像(数学)
程序设计语言
作者
Xuebo Zheng,Chunping Hou,Meiyan Huang,Dan Ma,Menglong Li
出处
期刊:IEEE Geoscience and Remote Sensing Letters
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:: 1-1
标识
DOI:10.1109/lgrs.2023.3249960
摘要
The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) dynamically monitors water depth in shallow waters around islands and reefs. Noise removal is a prerequisite for accurate reconstruction of seafloor topography based on ICESat-2 data products. To this end, we propose a Density and Distance-Based Method (DDBM) to extract seafloor signal photons from ICESat-2 data. DDBM first separates the photons into three parts: above-water, water surface and water-column. The water-column photons consist of seafloor signal photons and noise photons. DDBM adopts a two-step denoising strategy to remove noise in water-column photons to obtain pure and complete signal photons. In the first step, an orientation-variable adaptive ellipse filter is developed, which can adaptively adjust the parameters according to the water depth to remove low-density noise photons. In the second step, a novel Distance-Based Filter (DBF) is designed for stubborn high-density noise clusters. These noise clusters are far from the signal photons, and the DBF removes them by a distance threshold derived from the Otsu threshold method. We select three high-density ICESat-2 datasets to validate DDBM. Compared with the reference data, the comprehensive evaluation indexes F of DDBM in all datasets are above 0.99 and the highest is 0.998, showing superior performance.
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