Synthetic image generation of shallow waters using a parallelized hyperspectral Monte Carlo and analytical radiative transfer model

Charles R. Bostater Jr.; Gen-Tao Chiang; Lisa H. Huddleston; Manuel Gimond

doi:10.1117/12.464377

14 February 2003 Synthetic Image Generation of Shallow Waters Using a Parallelized Hyperspectral Monte Carlo & Analytical Radiative Transfer Model

Charles R. Bostater Jr., Gen-Tao Chiang, Lisa H. Huddleston, Manuel Gimond

Author Affiliations +

Proceedings Volume 4880, Remote Sensing of the Ocean and Sea Ice 2002; (2003) https://doi.org/10.1117/12.464377
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

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 of radiative transport applicable to shallow water types. Images at the selected wavelengths or channels centered at 490, 530 and 680 nm suggest 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 of detailed and accurate water depths.

Citation Download Citation

Charles R. Bostater Jr., Gen-Tao Chiang, Lisa H. Huddleston, and Manuel Gimond "Synthetic Image Generation of Shallow Waters Using a Parallelized Hyperspectral Monte Carlo & Analytical Radiative Transfer Model", Proc. SPIE 4880, Remote Sensing of the Ocean and Sea Ice 2002, (14 February 2003); https://doi.org/10.1117/12.464377

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