18 May 2016 Optimizing resolution efficiency for long-range EOIR multispectral imaging sensors
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Abstract
As airborne EOIR imaging systems strive to achieve high-NIIRS full motion video (FMV) from longer and longer standoff ranges, the challenges behind conceptualizing, designing, and fielding such systems grows significantly. We present a heuristic framework for dissecting the "goodness" of an FMV multispectral sensor and look at the various components behind what makes a high-resolution sensor. Combining spatial, temporal, spectral, and "signal" resolution with system footprint size/weight/power (SWaP) metrics allows deterministic tradeoffs between optical systems as well as system architectures. We present example trade studies of optical architectures from disparate application fields in various SWaP-constrained environments for long-range imaging and evaluating how system parameters are intrinsically linked.
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S. Craig Olson, S. Craig Olson, Timothy D. Goodman, Timothy D. Goodman, Andrew W. Sparks, Andrew W. Sparks, Craig S. Wheeler, Craig S. Wheeler, } "Optimizing resolution efficiency for long-range EOIR multispectral imaging sensors", Proc. SPIE 9846, Long-Range Imaging, 98460F (18 May 2016); doi: 10.1117/12.2224301; https://doi.org/10.1117/12.2224301
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