18 May 2016 Optimizing resolution efficiency for long-range EOIR multispectral imaging sensors
Author Affiliations +
Proceedings Volume 9846, Long-Range Imaging; 98460F (2016); doi: 10.1117/12.2224301
Event: SPIE Defense + Security, 2016, Baltimore, Maryland, 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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Craig Olson, Timothy D. Goodman, Andrew W. Sparks, 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
PROCEEDINGS
13 PAGES


SHARE
KEYWORDS
Sensors

Imaging systems

Spatial resolution

Image resolution

Image sensors

Cameras

Video

RELATED CONTENT


Back to Top