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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Physics Publishing
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/52180/1/B.RokniDeilmai2014_Comparisonofpixel-based.pdf http://eprints.utm.my/id/eprint/52180/ http://dx.doi.org/10.1088/1755-1315/18/1/012069 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |