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20 May 2011 Realism, utility, and evolution of remotely sensed simulations
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Abstract
Simulated imagery has been and will continue to be a great resource to the remote sensing community. It not only fills in the gaps when real imagery is not available, but allows the user to know and control every aspect of the scene. Over the last 20 years we have seen its value in algorithm development, systems level design trade studies and phenomenology investigation. The realism of this data is often linked to its radiometric accuracy. The Rochester Institute of Technology's Digital Imaging and Remote Sensing (DIRS) Laboratory has done extensive work on making simulations more realistic for years, while developing our in house image generator, DIRSIG. In the past we have invested hundreds of man-hours to painstakingly build large scale scenes of real locations with manual methods. Recently, new procedural tools and open source geometry repositories have allowed the creation of similar scenes with improved scene clutter in significantly less time. It is now possible to assemble and build large city-scale scene geometries with a more automated workflow over the course of a few hours. Even with these advances, an observer viewing these high resolution, complex, spectrally and spatially textured simulated images is still visually aware that they are nothing but simulations, albeit radiometrically and spectrally accurate. This paper will investigate the above concern regarding simulated imagery by looking at the utility, evolution and future of image simulations.
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Erin Ontiveros, Michael Gartely, Scott Brown, Rolando Raqueño, and David Pogorzala "Realism, utility, and evolution of remotely sensed simulations", Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80481L (20 May 2011); https://doi.org/10.1117/12.884178
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