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)
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)
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)
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