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dc.contributor.authorBostater, Charles R.
dc.contributor.authorBassetti, Luce
dc.date.accessioned2017-06-12T14:59:04Z
dc.date.available2017-06-12T14:59:04Z
dc.date.issued2006-10-06
dc.identifier.citationBostater Jr., C. R., & Bassetti, L. (2006). A pixel to pixel hyperspectral synthetic image model inter-comparison study. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, 6360 doi:10.1117/12.692614en_US
dc.identifier.urihttp://hdl.handle.net/11141/1474
dc.description.abstractThe purpose of this paper is to present simulation results comparing e a Monte Carlo Hyperspectral Simulation Model (MCHSIM) which generates synthetic images with realistic water wave surface to an iterative layered radiative transfer model used to generate hyperspectral synthetic images with realistic water wave surfaces. The Monte Carlo model is divided into 5 steps: (1) generation of the photons, (2) tracking of the photon optical path and simultaneously (3) recording of the photon's location within the water column, (4) a tabulation of the photon location or positions, and conversion to meaningful radiometric quantities and (5) a calculation and processing of the event probabilities between successive photons. This model will was compared to the ILRT which is analytical and uses an iterative method to converge on the solution to the layered two flow radiative transfer model. Overall, the purpose of this research is to develop a better scientific understanding of the influence of the air-sea interface on the remote sensing signal from 400 to 750 nm, as well as the coupled influence of water waves and shallow bottom reflectance effects from benthic aquatic habitat features such as submerged vegetation, corals, and other objects submerged within the water column. Results suggest that the two models are comparing quite well when pixel reflectance data are compared as shown in the 2 dimensional plots. Additional model simulations and comparisons are needed in order for the research to result in practical applications for algorithm development of coastal water quality indicators.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.titleA pixel to pixel hyperspectral synthetic image model inter-comparison studyen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.692614


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