Synthetic Image Generation of Shallow Waters Using a Parallelized Hyperspectral Monte Carlo & Analytical Radiative Transfer Model
Proceedings of SPIE - the International Society for Optical Engineering
Modeled hyperspectral reflectance signatures just above the water surface are obtained from radiative transfer models to create synthetic images of the water surface. Images are displayed as 24 bit RGB images of the water surface using selected channel. Comparisons are made in this paper between a hyperspectral Monte Carlo and a hyperspectral layered analytical model ofradiative transport applicable to shallow water types. Images at the selected wavelengths or channels centered at 490, 530 and 680 nm suggests the two models provide the same results when displayed as RGB images. The most sensitive parameters for generating realistic images are water depth and bottom reflectance in clean natural, optically shallow waters. The images clearly demonstrate the need importance ofdetailed and accurate water depths.
Bostater, Charles R.; Chiang, Gen-Tao; Huddleston, Lisa H.; and Gimond, Manuel, "Synthetic Image Generation of Shallow Waters Using a Parallelized Hyperspectral Monte Carlo & Analytical Radiative Transfer Model" (2003). Ocean Engineering and Marine Sciences Faculty Publications. 11.
This published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.