Michael D. Presnar

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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(More)
Simulation of moving vehicle tracking has been demonstrated using hyperspectral and polarimetric imagery (HSI/PI). Synthetic HSI/PI image cubes of an urban scene containing moving vehicle content were generated using the Rochester Institute of Technology's Digital Imaging and Remote Sensing Image Generation (DIRSIG) Megascene #1 model. Video streams of(More)
An optical tracking sensor that produces images containing the state of polarization of each pixel can be implemented using individual wire-grid micropolarizers on each detector element of a solid-state focal plane array. These sensors can significantly improve identification and tracking of various man-made targets in cluttered, dynamic scenes such as(More)
Comprehensive simulation of multispectral/hyperspectral synthetic imagery captured from a moving aerial platform is necessary for predicting real-life performance of adaptive sensor models. Physics-based modeling and simulation tools are required to synthesize sensor-reaching radiance imagery of an urban scene while incorporating moving vehicular targets,(More)
Urban environments typically include an assortment of man-made objects constructed of materials such as brick, tile, asphalt, glass, and painted metal that can each be modeled by a bidirectional reflectance distribution function (BRDF). Some of these materials (e.g., glass) are polarization selective when reflecting unpolarized solar energy from their(More)
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