| タイトル | Learning class descriptions from a data base of spectral reflectance with multiple view angles |
| 著者（英） | Harrison, P. A.; Harrison, Patrick R.; Kimes, Daniel S. |
| 著者所属（英） | NASA Headquarters; NASA Goddard Space Flight Center |
| 発行日 | 1992-03-01 |
| 言語 | eng |
| 内容記述 | A learning program has been developed which combines 'learning by example' with the generate-and-test paradigm to furnish a robust learning environment capable of handling error-prone data. The problem is shown to be capable of learning class descriptions from positive and negative training examples of spectral and directional reflectance data taken from soil and vegetation. The program, which used AI techniques to automate very tedious processes, found the sequence of relationships that contained the most important information which could distinguish the classes. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 92A42286 |
| 権利 | Copyright |
