Optimizing resolution efficiency for long-range EOIR multispectral imaging sensors

S. Craig Olson; Timothy D. Goodman; Andrew W. Sparks; Craig S. Wheeler

doi:10.1117/12.2224301

18 May 2016 Optimizing resolution efficiency for long-range EOIR multispectral imaging sensors

S. Craig Olson, Timothy D. Goodman, Andrew W. Sparks, Craig S. Wheeler

Proceedings Volume 9846, Long-Range Imaging; 98460F (2016) https://doi.org/10.1117/12.2224301
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

Citation Download Citation

S. Craig Olson, Timothy D. Goodman, Andrew W. Sparks, and Craig S. Wheeler "Optimizing resolution efficiency for long-range EOIR multispectral imaging sensors", Proc. SPIE 9846, Long-Range Imaging, 98460F (18 May 2016); https://doi.org/10.1117/12.2224301

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