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Sensors 2010, 10(8), 7561-7575;

Bayesian Model for Matching the Radiometric Measurements of Aerospace and Field Ocean Color Sensors

Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Hengelosestraat 99, 7500 AA Enschede, The Netherlands
Author to whom correspondence should be addressed.
Received: 11 June 2010 / Revised: 16 July 2010 / Accepted: 10 August 2010 / Published: 11 August 2010
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in The Netherlands)
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A Bayesian model is developed to match aerospace ocean color observation tofield measurements and derive the spatial variability of match-up sites. The performance of the model is tested against populations of synthesized spectra and full and reduced resolutions of MERIS data. The model derived the scale difference between synthesized satellite pixel and point measurements with R2 > 0.88 and relative error < 21% in the spectral range from 400 nm to 695 nm. The sub-pixel variabilities of reduced resolution MERIS image are derived with less than 12% of relative errors in heterogeneous region. The method is generic and applicable to different sensors. View Full-Text
Keywords: Bayesian; maximum entropy; match-up; ocean color; MERIS Bayesian; maximum entropy; match-up; ocean color; MERIS

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Salama, M.S.; Su, Z. Bayesian Model for Matching the Radiometric Measurements of Aerospace and Field Ocean Color Sensors. Sensors 2010, 10, 7561-7575.

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