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)
Polarimetric scene phenomenology yields a remote sensing modality that can be used in tandem with or alternative to panchromatic, multispectral, hyperspectral, or infrared intensity imagery. A synthetic image generator boasting a validated polarimetric modality is extremely valuable when testing optical polarimeter models prior to construction and flight(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)
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