Shallow Water Bathymetry Retrieval by Optical Remote Sensing Based on Depth-Invariant Index and Location Features
Author:
Affiliation:
1. School of Shandong, University of Science and Technology, Qingdao, 266590, China
2. First Institute of Oceanography Ministry of Natural Resources, MNR, Qingdao, 266061, China
3. Ocean University of China, Qingdao, 266100, China
Funder
Key Laboratory of Ocean Geomatics, Ministry of Natural Resources
Key Laboratory of Marine Environment and Ecology, Ministry of Education of China, Ocean University of China
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/07038992.2022.2104235
Reference25 articles.
1. A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network
2. Derivation of High-Resolution Bathymetry from Multispectral Satellite Imagery: A Comparison of Empirical and Optimisation Methods through Geographical Error Analysis
3. Efficient radiative transfer model inversion for remote sensing applications
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