| タイトル | Multi-temporal airborne synthetic aperture radar data for crop classification |
| 著者（英） | Groom, G. B.; Curran, P. J.; Munro, D. C.; Foody, G. M. |
| 著者所属（英） | Sheffield Univ.|Hawaii Univ.|Kingston Polytechnic|NASA Ames Research Center|Bristol Univ. |
| 発行日 | 1989-09-01 |
| 言語 | eng |
| 内容記述 | This paper presents an approach to the classification of crop type using multitemporal airborne SAR data. Following radiometric correction of the data, the accuracy of a per-field crop classification reached 90 percent for three classes using data acquired on four dates. A comparable accuracy of 88 percent could be obtained for a classification of the same classes using data acquired on only two dates. Increasing the number of classes from three to seven reduced the classification accuracies to 55 percent and 69 percent when using data from two and four dates respectively. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 90A12755 |
| 権利 | Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/360023 |
