Proceedings Article | 18 May 2013
AnneMarie Giannandrea, Nina Raqueno, David Messinger, Jason Faulring, John Kerekes, Jan van Aardt, Kelly Canham, Shea Hagstrom, Erin Ontiveros, Aaron Gerace, Jason Kaufman, Karmon Vongsy, Heather Griffith, Brent Bartlett, Emmett Ientilucci, Joseph Meola, Lauwrence Scarff, Brian Daniel
Proc. SPIE. 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
KEYWORDS: Target detection, Hyperspectral imaging, Aerospace engineering, Imaging systems, LIDAR, Sensors, Satellites, Remote sensing, Image sensors, Electroluminescent displays
A multi-modal (hyperspectral, multispectral, and LIDAR) imaging data collection campaign was conducted just south of Rochester New York in Avon, NY on September 20, 2012 by the Rochester Institute of Technology (RIT) in conjunction with SpecTIR, LLC, the Air Force Research Lab (AFRL), the Naval Research Lab (NRL), United Technologies Aerospace Systems (UTAS) and MITRE. The campaign was a follow on from the SpecTIR Hyperspectral Airborne Rochester Experiment (SHARE) from 2010. Data was collected in support of the eleven simultaneous experiments described here. The airborne imagery was collected over four different sites with hyperspectral, multispectral, and LIDAR sensors. The sites for data collection included Avon, NY, Conesus Lake, Hemlock Lake and forest, and a nearby quarry. Experiments included topics such as target unmixing, subpixel detection, material identification, impacts of illumination on materials, forest health, and in-water target detection. An extensive ground truthing effort was conducted in addition to collection of the airborne imagery. The ultimate goal of the data collection campaign is to provide the remote sensing community with a shareable resource to support future research. This paper details the experiments conducted and the data that was collected during this campaign.
