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14 October 2019 The retrieval of wind wave characteristics by the underwater solar path image: slope frequency spectrum
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Abstract
The present paper reveals the practical possibilities of the solar path observation from underwater as an instrument for remote sensing of wavy surface. Paper includes: a theoretical model of underwater solar path image and its statistical moments; algorithm for solving inverse problem; description of full-scale experiment and results of slope frequency spectrum retrieval. Presented spectra were obtained for random selected data from continues field measurements in the coastal zone of the Black Sea. On their example it was shown that spectra obtained by image processing and wave gauge data are close over the entire frequency interval. At frequencies corresponding to capillary waves, where wave gauge not applicable, underwater vision system still continues to measure wave spectrum. Obtained results complement previously published results of retrieval wind wave characteristics and water optical properties using underwater solar path images, thereby confirming advantages of applying underwater optical systems for remote sensing of different waters.
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Alexander A. Molkov, Lev S. Dolin, Ivan A. Kapustin, and Olga V. Shomina "The retrieval of wind wave characteristics by the underwater solar path image: slope frequency spectrum", Proc. SPIE 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, 111501F (14 October 2019); https://doi.org/10.1117/12.2533010
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