| タイトル | Applying artificial intelligence to the control of space telescopes (extended abstract) |
| 本文（外部サイト） | http://hdl.handle.net/2060/19920017643 |
| 著者（英） | Philips, Andrew; Bresina, John; Levinson, Rich; Drummond, Mark; Swanson, Keith |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 1992-03-01 |
| 言語 | eng |
| 内容記述 | The field of astronomy has recently benefited from the availability of space telescopes. The Hubble Space Telescope (HST), for instance, despite its problems, provides a unique and valuable view of the universe. However, unlike HST, a telescope need not be in low Earth orbit to escape our thickening atmosphere: it is currently technologically feasible to put a telescope on the moon, and there are excellent reasons for doing this. Either in low Earth orbit or on the moon, a space telescope represents an expensive and sought-after resource. Thus, the planning, scheduling, and control of these telescopes is an important problem that must be seriously studied. |
| NASA分類 | ASTRONOMY |
| レポートNO | 92N26886
FIA-92-05
NASA-TM-107913
NAS 1.15:107913 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/126820 |
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