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30 December 2004 An exercise in traceability: quantifying imaging spectrometer noise constraints on geologic interpretation
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donovan Steutel, Josh T. Cahill, and Paul G. Lucey "An exercise in traceability: quantifying imaging spectrometer noise constraints on geologic interpretation", Proc. SPIE 5660, Instruments, Science, and Methods for Geospace and Planetary Remote Sensing, (30 December 2004); https://doi.org/10.1117/12.578553
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