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Proceedings Paper

S-asteroid spectral interpreter (SASI): spectral analysis system for the Near-Earth Asteroid Rendezvous (NEAR) mission using a neural network preprocessor
Author(s): Paul G. Lucey
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Paper Abstract

The surfaces of asteroids consist of mineral grains mixed on scales of 10-110's of micrometers where linear mixing rules for near-IR spectra do not apply. Further, the spectral properties of the mineral components are strong nonlinear functions of grain size and chemical composition. Detailed models of these nonlinear properties exist, but are not amenable to analytic inversion, requiring relatively inefficient iterative solutions to extract physical data from reflectance spectra. However, the NASA Near-Earth Asteroid Rendezvous mission soon to orbit the asteroid Eros requires near real time spectral analysis of near-IR spectral data for mission operations planning. The S- Asteroid Spectral Interpreter is a software system which includes a neural network which has been trained to invert the nonlinear physical model, and conventional gradient descent algorithm which refines the output of the neural network to arrive at a rapid analysis of input spectra.

Paper Details

Date Published: 30 March 2000
PDF: 8 pages
Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); doi: 10.1117/12.380579
Show Author Affiliations
Paul G. Lucey, Univ. of Hawaii/Manoa (United States)

Published in SPIE Proceedings Vol. 4055:
Applications and Science of Computational Intelligence III
Kevin L. Priddy; Paul E. Keller; David B. Fogel, Editor(s)

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