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20 November 2024 A statistical fetch model for littoral water wave glint corrections using WorldView-3 imagery
Charles R. Bostater Jr.
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Proceedings Volume PC13191, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI; PC1319106 (2024) https://doi.org/10.1117/12.3034397
Event: Remote Sensing, 2024, Edinburgh, United Kingdom
Abstract
Sun glint in satellite imagery of the water surface contaminates the upwelling signal received by a detector. Many models exist that attempt to correct for this wave facet effect and phenomena. In this work a model for sun glint correction is creating using the comparison of image transects between two nearly simultaneously collected images of the same area, although with differing sensor geometry. One image utilized in this research is almost entirely glint free while the other is contaminated by water wave facet glint. Although many models for removing sun glint exist based on various techniques, none are completely accurate, and there is always a need to improve our understanding of this phenomena and to decontaminate the sun glint pixels. The model developed in this research is based on the statistical properties of the images related to azimuth angles, fetch distances, wind speed and direction, and other factors in attempt to test a new mathematical model for sun glint removal.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Charles R. Bostater Jr. "A statistical fetch model for littoral water wave glint corrections using WorldView-3 imagery", Proc. SPIE PC13191, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI, PC1319106 (20 November 2024); https://doi.org/10.1117/12.3034397
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KEYWORDS
Statistical modeling
Data modeling
Mathematical modeling
Reflectivity
Coastal modeling
Contamination
Statistical analysis
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