| タイトル | A new adaptive classifier using iterative filtering |
| 本文（外部サイト） | http://hdl.handle.net/2060/19750007252 |
| 著者（英） | Actkinson, A. L. |
| 著者所属（英） | NASA Johnson Space Center |
| 発行日 | 1974-05-13 |
| 言語 | eng |
| 内容記述 | To cope with signature variability, an algorithm has been defined which will adaptively classify remotely sensed data in the visible and near infrared band. The signal is divided into a space-dependent component and a target-dependent component. The target-dependent component is assumed fixed across the image for each target type. The space-dependent component is estimated iteratively by a weighted, least-squares algorithm. Included are the derivations of the sensor model and the two-dimensional, estimation algorithm. |
| NASA分類 | COMPUTER OPERATIONS AND HARDWARE |
| レポートNO | 75N15324
JSC-IN-74-FM-21
NASA-TM-X-72176 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/191468 |
