Estimation of sea surface currents based on ocean colour remote-sensing image analysis
Authors:
- 23 September 2016
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 37 (21) , 5105-5121
Abstract
Accurate quantification of the sea surface current speeds with high spatial resolution and in near real-time is beneficial for many applications of physical oceanography, and can be implemented by processing ocean colour remote-sensing imagery data. The robust optical flow (ROF) approach applied to sub-image processing is described in detail in this article, and compared with a conventional maximum cross-correlation (MCC) block matching algorithm with sub-pixel operation. ROF results obtained from Geostationary Ocean Colour Imager (GOCI) imagery are shown to be in good agreement with sea surface currents derived from Ocean Surface Current Analyses-Real time (OSCAR) data, providing a validation of the ROF method.Keywords
Funding Information
- National Natural Science Foundation of China (41276019)
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