- author = "K. A. Farry and J. S. Graham and F. Vilas and K. S. Jarvis",
- title = "Automating Asteroid Surface Composition Identification from Reflectance Spectra",
- booktitle = "The 29th Lunar and Planetary Science Conference",
- year = "1998",
- pages = "1661",
- address = "Houston, Texas, USA",
- month = "16-20 " # mar,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.lpi.usra.edu/meetings/LPSC98/pdf/1661.pdf",
- size = "2 pages",
- abstract = "We are applying genetic programming, an evolutionary programming technique, to identifying the minerals in spectra of asteroids from telescopes. We have done a basic feasibility test of this new identifier concept using US Geological Survey (USGS) spectra of three terrestrial minerals likely to be present in low-albedo asteroid regoliths: Antigorite, Hematite, and Jarosite. Initial results are very promising. Functions produced by genetic programming correctly identify 96percent of 140 spectra corrupted by measurement noise, scale uncertainty, and background continua removal uncertainty.",
-
notes = "http://www.lpi.usra.edu/meetings/LPSC98/
1 National Research Council (NRC) Research Associate, NASA/JSC/SN3, Houston, TX 77058, farry@farry.com. 2 9311 Tree Branch, Houston, TX 77064. 3 NASA/JSC/SN3, Houston, TX 77058. 4 LMSMSS, Houston, TX 77058.
See also (abstract only?) Application of Genetic Programming to Identifying Asteroid Surface Composition from Reflectance Spectra \cite{1997DPS....29.0721F} year 1997, series {Bulletin of the American Astronomical Society}, volume 29, month jul, pages {976-+}, http://adsabs.harvard.edu/abs/1997DPS....29.0721F",
