Paper
12 October 2007 Multiresolution optical properties of rough sea surface in infrared
Karine Caillault, Sandrine Fauqueux, Christophe Bourlier, Pierre Simoneau, Luc Labarre
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Abstract
The purpose of this paper is to take into account the spatial variability of a wind-roughened sea surface from 1-meter to large scale including sub-metric variability. An analytical model of infrared sea surface optical properties based on a statistical approach is proposed. We introduce a new two-scale model consisting in superimposing the small scale variability (smaller than the pixel footprint) to the large scale one. The analytical expressions given in literature are extended to account for any slope mean vector-value and covariance matrix, and the statistical properties are determined for the resolution required by the observational configuration. Verifications of the physical validity of this new approach are presented. They globally show a good agreement. A bias is observed at grazing angles, mainly explained by the fact that the multiple reflections are ignored. Our model has also been implemented for the generation of synthetic sea surface radiance images, showing its ability to produce good quality ocean scenes in various contextual conditions.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karine Caillault, Sandrine Fauqueux, Christophe Bourlier, Pierre Simoneau, and Luc Labarre "Multiresolution optical properties of rough sea surface in infrared", Proc. SPIE 6743, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2007, 674302 (12 October 2007); https://doi.org/10.1117/12.736823
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Cited by 1 scholarly publication.
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KEYWORDS
Optical properties

Sensors

Sun

Statistical analysis

Infrared radiation

Wind energy

Infrared imaging

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