Rapid estimation of bathymetry from multispectral imagery without in situ bathymetry data-Reference-Cited by-同舟云学术

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Rapid estimation of bathymetry from multispectral imagery without in situ bathymetry data

Published:2019-09-18 Issue:27 Volume:58 Page:7538
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Liu Yongming^ORCID,Deng Ruru,Qin Yan,Cao Bin,Liang Yeheng,Liu Yingfei,Tian Jianlin,Wang Shuailei

Funder

Science and Technology Planning Project of Guangdong Province, China

Innovation Projects in Water Resource of Guangdong Province, China

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference42 articles.

1. Coral Reef Remote Sensing

2. Hyperspectral remote sensing for shallow waters: 2 Deriving bottom depths and water properties by optimization

3. Passive remote sensing techniques for mapping water depth and bottom features

4. Determination of water depth with high-resolution satellite imagery over variable bottom types

5. Diffuse reflectance of oceanic shallow waters: Influence of water depth and bottom albedo

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1. Refinement of Marine Gravity Anomaly Over Shallow Waters by Using Satellite-Derived Bathymetry;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Satellite remote sensing based coastal bathymetry inversion;Current Trends in Estuarine and Coastal Dynamics;2024

3. Enhancing Water Depth Estimation from Satellite Images Using Online Machine Learning: A Case Study Using Baidu Easy-DL with Acoustic Bathymetry and Sentinel-2 Data;Remote Sensing;2023-10-13

4. Bathymetry of shallow coastal environment using multi-spectral passive data under rapid sea–level change;Journal of Sea Research;2023-08

5. A Comparison of Machine Learning and Empirical Approaches for Deriving Bathymetry from Multispectral Imagery;Remote Sensing;2023-01-09

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