Which Arc GIS LULC Classifier is better_ Part 2
- 2 years ago
To watch the previous part (Part 1) of this video
https://www.dailymotion.com/partner/x2p758r/media/video/details/x8e2dnw
The two-part video series compared the three most commonly used LULC classifiers in Arc GIS. Overall accuracy was achieved by Maximum Likelihood (67.2%), Random Tree (75.4%), and Support Vector Machine (74.8%). By far, the Random tree classifier outperformed SVM, implying that it is the best classifier. The result may vary depending on the geographical context.
Background Music "Sino Blues" arranged by Moges Y.
https://www.dailymotion.com/partner/x2p758r/media/video/details/x8e2dnw
The two-part video series compared the three most commonly used LULC classifiers in Arc GIS. Overall accuracy was achieved by Maximum Likelihood (67.2%), Random Tree (75.4%), and Support Vector Machine (74.8%). By far, the Random tree classifier outperformed SVM, implying that it is the best classifier. The result may vary depending on the geographical context.
Background Music "Sino Blues" arranged by Moges Y.