Modeled hyperspectral reflectance signatures just above the water surface are obtained from radiative transfer models to create synthetic images of targets below the water surface. Images are displayed as 24 bit RGB images of the water surface using selected channels. Example model outputs are presented in this paper for a hyperspectral Monte Carlo and a hyperspectral layered analytical iterative model of radiative transport within turbid shallow water types. Images at the selected wavelengths or channels centered at 490, 530 and 680 nm suggests the two models provide quite similar results when displayed as RGB images. The techniques are demonstrated to the problem of extracting synthetic targets from hyperspectral synthetic images in the presence of water surface wave, using spectral wave models. The most sensitive parameters for generating realistic images are water depth and bottom reflectance in clean natural and optically shallow waters. Also presented are platforms for use in ports, harbors, inlets and waterways developed and designed for current and future monitoring to insure sustainable safe shallow water environments.