Abstract
Image classification based on information on different physical characteristics raises the need for new classification techniques. Rule-based techniques, as used in expert systems, have been introduced. The application of these "knowledge engineering' procedures in image classification is demonstrated in a case study: the development of a "prototype' expert system to assist in the interpretation of soil classes from a SPOT image. Boolean and maximum likelihood classifiers were defined and implemented as decision rules in an in-house developed shell and a commercial one. -Authors
| Original language | English |
|---|---|
| Pages (from-to) | 27-32 |
| Number of pages | 6 |
| Journal | ITC Journal |
| Volume | 1989-1 |
| Publication status | Published - 1989 |