Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Methods for improving supervised and unsupervised classification of remotely sensed data were developed in this study. Supervised classification of remotely sensed data requires systematic collection of training samples for classes of interest. Image visual interpretation is important in training...
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| 格式: | Thesis |
| 語言: | 英语 英语 |
| 出版: |
2005
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| 在線閱讀: | http://psasir.upm.edu.my/id/eprint/6062/1/FK_2005_49.pdf |