Comparison of pixel -based and artificial neural networks classification methods for detecting forest cover changes in Malaysia
According to the FAO (Food and Agriculture Organization), Malaysia lost 8.6% of its forest cover between 1990 and 2005. In forest cover change detection, remote sensing plays an important role. A lot of change detection methods have been developed, and most of them are semi-automated. These methods...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Physics Publishing,
2014.
|
| Subjects: | |
| Online Access: | Get fulltext |