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Proceedings Paper

Image quality vs. sensitivity: fundamental sensor system engineering
Author(s): Carl F. Schueler
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Paper Abstract

This paper focuses on the fundamental system engineering tradeoff driving almost all remote sensing design efforts, affecting complexity, cost, performance, schedule, and risk: image quality vs. sensitivity. This single trade encompasses every aspect of performance, including radiometric accuracy, dynamic range and precision, as well as spatial, spectral, and temporal coverage and resolution. This single trade also encompasses every aspect of design, including mass, dimensions, power, orbit selection, spacecraft interface, sensor and spacecraft functional trades, pointing or scanning architecture, sensor architecture (e.g., field-of-view, optical form, aperture, f/#, material properties), electronics, mechanical and thermal properties. The relationship between image quality and sensitivity is introduced based on the concepts of modulation transfer function (MTF) and signal-to-noise ratio (SNR) with examples to illustrate the balance to be achieved by the system architect to optimize cost, complexity, performance and risk relative to end-user requirements.

Paper Details

Date Published: 25 August 2008
PDF: 11 pages
Proc. SPIE 7087, Remote Sensing System Engineering, 708708 (25 August 2008); doi: 10.1117/12.800922
Show Author Affiliations
Carl F. Schueler, Orbital Sciences Corp. (United States)

Published in SPIE Proceedings Vol. 7087:
Remote Sensing System Engineering
Philip E. Ardanuy; Jeffery J. Puschell, Editor(s)

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