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dc.contributor.authorBostater, Charles R.
dc.date.accessioned2017-04-19T12:52:00Z
dc.date.available2017-04-19T12:52:00Z
dc.date.issued2012-10-19
dc.identifier.citationBostater, C. R. (2012). Airborne multisensor remote sensing systems for subsurface feature detection in littoral zones. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, 8532 doi:10.1117/12.974656en_US
dc.identifier.urihttp://hdl.handle.net/11141/1346
dc.description.abstractThis paper describes low altitude mobile imaging of near coastal waters in the Northern Gulf of Mexico. A suite of mobile multispectral and hyperspectral sensors were flown between ∼1,000m to ∼3000m altitudes in order detect subsurface features in nearby wetlands and littoral zone areas following the Deepwater Horizon oil spill. In this paper techniques used to develop, integrate and calibrate the airborne sensors are described. The sensors include a multispectral digital frame camera system, a traditional photogrammetric camera, and a small custom hyperspectral imaging system with custom software. Ancillary sensors include include multiple differential GPS and inertial motion unit (IMU) sensing systems and twin high definition video cameras for parallax related estimations. The correction of hyperspectral pushbroom imagery that utilizes Kalman filtering and smoothing is described and examples of georeferenced imagery is presented. The ability to image subsurface features is described and demonstrates not only the hyperspectral imaging system, but the value of utilizing simultaneous multisensor mobile sensing systems for environmental monitoring and surveillance of shorelines, water and nearby vegetation environments in littoral zones.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with the publisher’s 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.titleAirborne multisensor remote sensing systems for subsurface feature detection in littoral zonesen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.974656


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