タイトル | Applications of feature selection |
本文(外部サイト) | http://hdl.handle.net/2060/19760020551 |
著者(英) | Guseman, L. F., Jr. |
著者所属(英) | Texas A&M Univ. |
発行日 | 1976-05-31 |
言語 | eng |
内容記述 | The use of satellite-acquired (LANDSAT) multispectral scanner (MSS) data to conduct an inventory of some crop of economic interest such as wheat over a large geographical area is considered in relation to the development of accurate and efficient algorithms for data classification. The dimension of the measurement space and the computational load for a classification algorithm is increased by the use of multitemporal measurements. Feature selection/combination techniques used to reduce the dimensionality of the problem are described. |
NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
レポートNO | 76N27639 NASA-CR-147790 |
権利 | No Copyright |
URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/185247 |