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Proceedings Article

Sensor modeling and demonstration of a multi-object spectrometer for performance-driven sensing

[+] Author Affiliations
John P. Kerekes, Kenneth D. Fourspring, Zoran Ninkov, David R. Pogorzala, Alan D. Raisanen, Jeffrey P. Patel, Robert T. MacIntyre, Scott D. Brown

Rochester Institute of Technology (USA)

Michael D. Presnar

Rochester Institute of Technology (USA) and Air Force Institute of Technology (USA)

Andrew C. Rice, Juan R. Vasquez

Numerica Corp. (USA)

Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 73340J (April 27, 2009); doi:10.1117/12.819265
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From Conference Volume 7334

  • Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV
  • Sylvia S. Shen; Paul E. Lewis
  • Orlando, Florida, USA | April 13, 2009

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 highfidelity, 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.

© (2009) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

John P. Kerekes ; Michael D. Presnar ; Kenneth D. Fourspring ; Zoran Ninkov ; David R. Pogorzala, et al.
"Sensor modeling and demonstration of a multi-object spectrometer for performance-driven sensing", Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 73340J (April 27, 2009); doi:10.1117/12.819265; http://dx.doi.org/10.1117/12.819265


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