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dc.contributor.authorBridgelall, Raj
dc.description.abstractThe ongoing proliferation and diversification of remote sensing platforms offers greater flexibility to select from a range of hyperspectral imagers as payloads. The emergence of low-cost unmanned aircraft systems (drones) and their launch flexibility presents an opportunity to maximize spectral resolution while scaling both daily spatial coverage and spatial resolution simultaneously by operating synchronized swarms. This article presents a model to compare the performance of hyperspectral-imaging platforms in terms of their spatial coverage and spatial resolution envelope. The authors develop a data acquisition framework and use the model to compare the achievable performance among existing airborne and spaceborne hyperspectral imaging vehicles and drone swarms. The results show that, subject to cost and operational limitations, a platform implemented with drone swarms has the potential to provide greater spatial resolution for the same daily ground coverage compared to existing airborne platforms.en_US
dc.rightsIn copyright. Permission to make this version available has been granted by the author and publisher.
dc.titlePerformance of Hyperspectral Imaging with Drone Swarmsen_US
dc.typeArticleen_US
dc.typePreprinten_US
dc.descriptionRaj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM).en_US
dc.date.accessioned2018-06-08T16:09:14Z
dc.date.available2018-06-08T16:09:14Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/10365/28238
dc.subjectUnmanned aircraft systems (UAS)en_US
dc.subjectAdaptive resolution.en_US
dc.subjectSwarm sensing.en_US
dc.subjectDaily ground coverage.en_US
dc.subject.lcshTransportation.en_US
dc.subject.lcshAutonomous vehicles.en_US
dc.subject.lcshSpatial systems.en_US
dc.identifier.orcid0000-0003-3743-6652
dc.identifier.citationBridgelall, R., Rafert, J. B., Tolliver, D. "Performance of Hyperspectral Imaging with Drone Swarms," Transportation Research Record: Journal of the Transportation Research Board, https://doi.org/10.1177/0361198118775876, May 30, 2018.en_US
dc.description.urihttps://www.ugpti.org/about/staff/viewbio.php?id=79
dc.language.isoen_USen_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.contributor.organizationUpper Great Plains Transportation Institute
ndsu.collegeCollege of Business
ndsu.departmentTransportation and Logistics
dc.identifier.doi10.1177/0361198118775876


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