@inproceedings{Kerekes2009_1,
Abstract = {A novel multi-object spectrometer (MOS) is being explored for use as an adaptive performance-driven sensor that tracks
moving targets. Developed originally for astronomical applications, the instrument utilizes an array of micromirrors to reflect light to a panchromatic imaging array. When an object of interest is detected the individual micromirrors imaging the object are tilted to reflect the light to a spectrometer to collect a full spectrum. This paper will present example
sensor performance from empirical data collected in laboratory experiments, as well as our approach in designing optical
and radiometric models of the MOS channels and the micromirror array. Simulation of moving vehicles in a high fidelity, hyperspectral scene is used to generate a dynamic video input for the adaptive sensor. Performance-driven
algorithms for feature-aided target tracking and modality selection exploit multiple electromagnetic observables to track moving vehicle targets.},
Address = {Orlando, Florida, United States},
Author = {John P. Kerekes and Michael D. Presnar and Kenneth D. Fourspring and Zoran Ninkov and David R. Pogorzala and A Raisanen and A Rice and J Vasquez and Jeffrey P. Patel and Robert MacIntyre and Scott D. Brown},
Booktitle = {, Proceedings of Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV},
Keywords = {spectrometer},
Month = {},
Number = {DOI: 10.1117/12.819265},
Organization = {SPIE},
Pages = {},
Title = {Sensor Modeling and Demonstration of a Multi-Object Spectrometer for Performance Driven Sensing},
Url = {},
Volume = {7334},
Year = {2009}}