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dc.contributor.authorBostater, Charles R.
dc.contributor.authorFrystacky, Heather
dc.contributor.authorNemes, Mate
dc.contributor.authorBassetti, Luce
dc.date.accessioned2017-06-12T19:33:05Z
dc.date.available2017-06-12T19:33:05Z
dc.date.issued2009-09-09
dc.identifier.citationBostater, C. R., Frystacky, H., Nemes, M., & Bassetti, L. (2009). Analysis of simulated and actual airborne remote sensing imagery for characterization of surface water wave spectra. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 7473 doi:10.1117/12.834925en_US
dc.identifier.urihttp://hdl.handle.net/11141/1478
dc.description.abstractSimulated and airborne imagery demonstrate the ability to see manmade and natural objects below the water wave surface. Traditional photogrammetric imagery and airborne digital imagery both suffer from a loss in image clarity due to a number of factors, including the forward motion of the airborne platform. Blurring due to this effect can be calculated and an opto-mechanical system has been designed in order to help remove this effect. Forward motion blur can be shown to occur on the order of a several centimeters and calculation results are presented. The system is described and imagery is shown to demonstrate image blurring. Preliminary results obtained from an improved Monte Carlo model is also used to show expected results and to begin developing image correction methods in order to remove the blur due to water wave influences. Limitations to the hardware method suggest that the opto-mechanical system designed may lead to additional blur due to nonuniform focal plane focusing issues. The techniques have unique opportunities to help improve hyperspectral pushbroom sensors in addition to large frame mapping cameras that are in use today or being developed for future use.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.titleAnalysis of simulated and actual airborne remote sensing imagery for characterization of surface water wave spectraen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.834925


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