Fusion of Sun-Synchronous and Geostationary Images for Coastal and Ocean Color Survey Application to OLCI (Sentinel-3) and FCI (MTG)

Type Article
Date 2017-01
Language English
Other localization http://ieeexplore.ieee.org/document/7487007/
Author(s) Peschoud Cecile1, 2, Minghelli Audrey1, 2, Mathieu Sandrine3, Lei Manchun1, 2, Pairaud IvaneORCID4, Pinazo Christel5, 6
Affiliation(s) 1 : Univ Toulon & Var, LSIS, CNRS, UMR 7296, Toulon 9, France.
2 : Aix Marseille Univ, CNRS, ENSAM, LSIS UMR 7296 13397, Marseille, France.
3 : Thales Alenia Space, F-06156 Cannes La Bocca, France.
4 : IFREMER, LERPAC, Ctr Mediterranee, Zone Portuaire Bregaillon CS 20 330, F-83507 La Seyne Sur Mer, France.
5 : Aix Marseille Univ, CNRS, INSU, IRD,MIO,UM110, F-13288 Marseille, France.
6 : Univ deToulon, CNRS, INSU, IRD,MIO,UM110, F-83957 La Garde, France.
Source Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing (1939-1404) (Ieee-inst Electrical Electronics Engineers Inc), 2017-01 , Vol. 10 , N. 1 , P. 45-56
DOI 10.1109/JSTARS.2016.2558819
WOS© Times Cited 6
Keyword(s) Fusion, image simulation, meteosat Third Generation (MTG), ocean color, Ocean and Land Color Instrument
Abstract Open ocean and coastal area monitoring requires multispectral satellite images with a middle spatial resolution ({\sim !300 {text{m}}}) and a high temporal repeatability ({\sim !1 {text{h}}}) . As no current satellite sensors have such features, the aim of this study is to propose a fusion method to merge images delivered by a low earth orbit (LEO) sensor with images delivered by a geostationary earth orbit (GEO) sensor. This fusion method, called spatial spectral temporal fusion (SSTF), is applied to the future sensors—Ocean and Land Color Instrument (OLCI) (on Sentinel-3) and Flexible Combined Imager (FCI) (on Meteosat Third Generation) whose images were simulated. The OLCI bands, acquired at t _{0} , are divided by the oversampled corresponding FCI band acquired at t _{0} and multiplied by the FCI bands acquired at t _{1} . The fusion product is used for the next fusion at t _{1} and so on. The high temporal resolution of FCI allows its signal-to-noise ratio (SNR) to be enhanced by the means of temporal filtering. The fusion quality indicator ERGAS computed between SSTF fusion products and reference images is around 0.75, once the FCI images are filtered from the noise and 1.08 before filtering. We also compared the estimation of chlorophyll (Chl), suspended particulate matter (SPM), and colored dissolved organic matter (CDOM) maps from the fusion products with the input simulation maps. The comparison shows an average relative errors on Chl, SPM, and CDOM, respectively, of 64.6%, 6.2%, and 9.5% with the SSTF method. The SSTF method was also compared with an existing fusion method called the spatial and temporal adaptive reflectance fusion model (STARFM).
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Peschoud Cecile, Minghelli Audrey, Mathieu Sandrine, Lei Manchun, Pairaud Ivane, Pinazo Christel (2017). Fusion of Sun-Synchronous and Geostationary Images for Coastal and Ocean Color Survey Application to OLCI (Sentinel-3) and FCI (MTG). Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 10(1), 45-56. Publisher's official version : https://doi.org/10.1109/JSTARS.2016.2558819 , Open Access version : https://archimer.ifremer.fr/doc/00343/45413/