Detecting the water depth of the South China Sea reef area from WorldView-2 satellite imagery

Detecting the water depth of the South China Sea reef area from WorldView-2 satellite imagery The accurate and efficient detection of the water depth of coral reefs through remote sensing imagery is crucial for navigation, marine engineering, and marine safety, among others. This study proposed a water depth inversion method that is processed using a two-step strategy. First, a log-dual-band ratio transform model is employed by combining blue, yellow, red, and red edge bands. Second, a multivariable linear regression model is constructed to determine water depth. The experimental study is conducted in a reef island in the South China Sea, and the WorldView-2 satellite data is used as the test data. Results demonstrated that the proposed method needs a few parameters in the model, and can effectively and reliably characterize the correlation between the spectral features and water depth. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Earth Science Informatics Springer Journals

Detecting the water depth of the South China Sea reef area from WorldView-2 satellite imagery

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg
Subject
Earth Sciences; Earth Sciences, general; Information Systems Applications (incl.Internet); Simulation and Modeling; Ontology
ISSN
1865-0473
eISSN
1865-0481
D.O.I.
10.1007/s12145-017-0299-1
Publisher site
See Article on Publisher Site

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