| タイトル | Spaceborne SAR data for land-cover classification and change detection |
| 著者（英） | Ulaby, F. T.; Dobson, M. C.; Brisco, B. |
| 著者所属（英） | Kansas Univ. Center for Research, Inc. |
| 発行日 | 1983-01-01 |
| 言語 | eng |
| 内容記述 | Supervised maximum-likelihood classifications of Seasat, SIR-A, and Landsat pixel data demonstrated that SIR-A data provided the most accurate discrimination (72 percent) between five land-cover categories. Spatial averaging of the SAR data improved classification accuracy significantly due to a reduction in both fading and within-field variability. The best multichannel classification accuracy (97.5 percent) was achieved by combining the SIR-A data with two Seasat images (ascending and descending orbits). In addition, semiquantitative analysis of Seasat-A digital data shows that orbital SAR imagery can be successfully used for multitemporal detection of change related to hydrologic and agronomic conditions by using simple machine processing techniques. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 85A17525 |
| 権利 | Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/393896 |
