| タイトル | Computer classification of remotely sensed multispectral image data by extraction and classification of homogeneous objects |
| 本文（外部サイト） | http://hdl.handle.net/2060/19760014577 |
| 著者（英） | Kettig, R. L. |
| 著者所属（英） | Purdue Univ. |
| 発行日 | 1975-01-01 |
| 言語 | eng |
| 内容記述 | A method of classification of digitized multispectral images is developed and experimentally evaluated on actual earth resources data collected by aircraft and satellite. The method is designed to exploit the characteristic dependence between adjacent states of nature that is neglected by the more conventional simple-symmetric decision rule. Thus contextual information is incorporated into the classification scheme. The principle reason for doing this is to improve the accuracy of the classification. For general types of dependence this would generally require more computation per resolution element than the simple-symmetric classifier. But when the dependence occurs in the form of redundance, the elements can be classified collectively, in groups, therby reducing the number of classifications required. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 76N21665
NASA-CR-147403
LARS-IN-050975 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/186286 |
