| タイトル | Use of Landsat-derived temporal profiles for corn-soybean feature extraction and classification |
| 著者（英） | Austin, W. W.; Carnes, J. G.; Badhwar, G. D. |
| 著者所属（英） | NASA Johnson Space Center|Lockheed Engineering and Management Services Co., Inc. |
| 発行日 | 1982-03-01 |
| 言語 | eng |
| 内容記述 | A physical model is presented, which has been derived from multitemporal-multispectral data acquired by Landsat satellites to describe the behavior and new features that are crop specific. A feasibility study over 40 sites was performed to classify the segment pixels into those of corn, soybeans, and others using the new features and a linear classifier. Results agree well with other existing methods, and it is shown the multitemporal-multispectral scanner data can be transformed into two parameters that are closely related to the target of interest and thus can be used in classification. The approach is less time intensive than other techniques and requires labeling of only pure pixels. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 82A26842 |
| 権利 | Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/411388 |
