Share Email Print
cover

Proceedings Paper

Optimizing resolution efficiency for long-range EOIR multispectral imaging sensors
Author(s): S. Craig Olson; Timothy D. Goodman; Andrew W. Sparks; Craig S. Wheeler
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 18 May 2016
PDF: 13 pages
Proc. SPIE 9846, Long-Range Imaging, 98460F (18 May 2016); doi: 10.1117/12.2224301
Show Author Affiliations
S. Craig Olson, L-3 Communications (United States)
Timothy D. Goodman, L-3 Communications (United States)
Andrew W. Sparks, L-3 Communications (United States)
Craig S. Wheeler, L-3 Communications (United States)


Published in SPIE Proceedings Vol. 9846:
Long-Range Imaging
Eric J. Kelmelis, Editor(s)

© SPIE. Terms of Use
Back to Top