Compartive Analysis On Multispectral Images Based On Fuzzy Approach
In particular, the vital information for classification can get lost due to a vast amount of data flow in the classification of remotely-sensed images. Nonetheless, existing techniques used for classifying mixed pixels in remotely-sensed imagery are not too efficient due to the homogenous category....
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| Format: | Thesis |
| Language: | en en |
| Published: |
2020
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| Online Access: | http://eprints.utem.edu.my/id/eprint/25439/1/Compartive%20Analysis%20On%20Multispectral%20Images%20Based%20On%20Fuzzy%20Approach.pdf http://eprints.utem.edu.my/id/eprint/25439/2/Compartive%20Analysis%20On%20Multispectral%20Images%20Based%20On%20Fuzzy%20Approach.pdf http://eprints.utem.edu.my/id/eprint/25439/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119829 |
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