Method for reconstructing geostationary ocean color satellite data based on data interpolating empirical orthogonal functions
US11790580B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2019 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Aug 19, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30181
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure discloses a method for reconstructing geostationary ocean color satellite data based on Data INterpolating Empirical Orthogonal Functions. The method includes steps of: 1) for an original ocean color remote sensing area, using concentration detection and edge detection to eliminate abnormal image elements; 2) in the Data INterpolating Empirical Orthogonal Functions, using Laplace smoothing filter to smoothly filter a time covariance matrix; 3) for temporal modes value obtained by the Data INterpolating Empirical Orthogonal Functions, first decomposing it into sub-temporal mode, then adopting empirical modal decomposition, and finally performing interpolation, to obtain an ocean color remote sensing reanalysis data set that maintains its original accuracy and full coverage of time and space. Advantage of the method is that it fully considers high time resolution characteristics of the geostationary ocean color satellite data and considers conditions that there is a continuous high missing rate and complete missing in data missing, and it is suitable for the reconstruction of the geostationary ocean color satellite data, with good accuracy and high interpretati…
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