| Autor: | Ted L. Roush, Joseph D. Ramsey, Clark Glymour, P. R. Gazis, Peter Spirtes |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Soil test
Computer Networks and Communications Computer science Reflectance spectroscopy Mars Exploration Program Spectral line Computer Science Applications chemistry.chemical_compound chemistry Remote sensing (archaeology) Carbonate SIMPLE algorithm Reliability (statistics) Information Systems Remote sensing |
| Zdroj: | Data Mining and Knowledge Discovery. 6:277-293 |
| ISSN: | 1384-5810 |
| Popis: | Reflectance spectroscopy is a standard tool for studying the mineral composition of rock and soil samples and for remote sensing of terrestrial and extraterrestrial surfaces. We describe research on automated methods of mineral identification from reflectance spectra and give evidence that a simple algorithm, adapted from a well-known search procedure for Bayes nets, identifies the most frequently occurring classes of carbonates with reliability equal to or greater than that of human experts. We compare the reliability of the procedure to the reliability of several other automated methods adapted to the same purpose. Evidence is given that the procedure can be applied to some other mineral classes as well. Since the procedure is fast with low memory requirements, it is suitable for on-board scientific analysis by orbiters or surface rovers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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