Satellite-Derived Bathymetry Model in the Arctic Waters Based on Support Vector Regression-Reference-Cited by-同舟云学术

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Satellite-Derived Bathymetry Model in the Arctic Waters Based on Support Vector Regression

Published:2019-09-02 Issue:sp1 Volume:90 Page:294
ISSN:0749-0208
Container-title:Journal of Coastal Research
language:
Short-container-title:Journal of Coastal Research

Author:

Zhang Jing-Yu¹,Zhang Jie¹,Ma Yi¹,Chen An-Na¹,Cheng Jie²,Wan Jia-Xin³

Affiliation:

1. Marine Physics and Remote Sensing Research Department First Institute of Oceanography Ministry of Natural Resources Qingdao, China

2. College of Geomatics Shandong University of Science and Technology Qingdao, China

3. School of Geosciences China University of Petroleum Qingdao, China

Publisher

Coastal Education and Research Foundation

Subject

Earth-Surface Processes,Water Science and Technology,Ecology

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mapping of nearshore bathymetry using Gaofen-6 images for the Yellow River Delta-Laizhou Bay, China;Ecological Informatics;2024-05

2. Nearshore bathymetry estimation through dual-time phase satellite imagery in the absence of in-situ data;GIScience & Remote Sensing;2023-11-09

3. Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2;Advances in Space Research;2023-11

4. SaTSeaD: Satellite Triangulated Sea Depth Open-Source Bathymetry Module for NASA Ames Stereo Pipeline;Remote Sensing;2023-08-09

5. Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery Datasets Using Deep Learning Approach;Remote Sensing;2022-08-27

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