Aggregation of multi-source information for classification of remotely sensed images
Classification of remotely sensed images is typically performed by applying a decision rule to each pixel and classify it based on spectral information. To further improve classification accuracy, researchers had proposed the use of multi-source information. In addition to the spectral information,...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/38953 |