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Proceedings Paper

An exercise in traceability: quantifying imaging spectrometer noise constraints on geologic interpretation
Author(s): Donovan Steutel; Josh T. Cahill; Paul G. Lucey
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Paper Abstract

Multispectral imaging is a useful tool to planetary scientists only if the sensor is sufficiently sensitive to address the scientific questions of interest. In this paper, we demonstrate a quantitative relationship between spectroscopic imaging sensor noise and geologic interpretation of the planetary surface being imaged. By linking surface properties (e.g., chemistry, mineralogy, particle size) to spectra using radiative transfer theory, we determine the relationship between sensor noise and various surface properties which dictate the geologic interpretation of the surface. This relationship can be applied to both 1) past mission data with known sensor performance to determine uncertainty in the scientific interpretation of the data and 2) future mission planning of signal-to-noise requirements to meet specific scientific goals. We use past (NASA’s Clementine), present (ESA’s SMART-1), and future (JAXA’s SELENE) lunar missions as explicit examples.

Paper Details

Date Published: 30 December 2004
PDF: 10 pages
Proc. SPIE 5660, Instruments, Science, and Methods for Geospace and Planetary Remote Sensing, (30 December 2004); doi: 10.1117/12.578553
Show Author Affiliations
Donovan Steutel, Univ. of Hawaii/Manoa (United States)
Josh T. Cahill, Univ. of Hawaii/Manoa (United States)
Paul G. Lucey, Univ. of Hawaii/Manoa (United States)

Published in SPIE Proceedings Vol. 5660:
Instruments, Science, and Methods for Geospace and Planetary Remote Sensing
Carl A. Nardell; Paul G. Lucey; Jeng-Hwa Yee; James B. Garvin, Editor(s)

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