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dc.contributor.authorBostater, Charles R.
dc.contributor.authorBassetti, Luce
dc.date.accessioned2017-09-19T12:48:02Z
dc.date.available2017-09-19T12:48:02Z
dc.date.issued2004-11-16
dc.identifier.citationBostater Jr., C. R., & Bassetti, L. (2004). Influence of water waves on hyperspectral remote sensing of subsurface water features. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5569 194-208. doi:10.1117/12.565273en_US
dc.identifier.urihttp://hdl.handle.net/11141/1641
dc.descriptionHyperspectral remote sensing, submerged targets, synthetic images, synthetic signatures, modeling, simulation, water surface reflectance, optically shallow water, hydrologic optics, radiative transfer, water surface waves, hyperspectral image cubes, submerged water features, environmental remote sensing, submerged vegetation monitoring, shallow water remote sensing, sensor simulationen_US
dc.description.abstractModeled hyperspectral reflectance signatures with water wave influences are simulated using an analytical-based, iterative radiative transport model applicable to shallow or deep waters. Light transport within the water body is simulated using a fast, accurate radiative transfer model that calculates the light distribution in any layered media and incorporates realistic water surfaces which are synthesized using empirically-based spectral models of the water surface to generate water surface wave facets. The model simulated synthetic images are displayed as 24 bit RGB images of the water surface using selected channels from the simulated synthetic hyperspectral image cube. We show selected channels centered at 490, 530 and 676 nm. We also demonstrate the use of the model to show the capability of the sensor and image modeling approach to detect or "recover" known features or targets submerged within or on the shallow water bottom in a tidal inlet area in Indian River Lagoon, Florida. Line targets are simulated in shallow water and indicate the influence of water waves in different water quality conditions. The technique demonstrates a methodology to help to develop remote sensing protocols for shallow water remote sensing as well as to develop information useful for future hyperspectral sensor system developments.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleInfluence of water waves on hyperspectral remote sensing of subsurface water featuresen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.565273


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