Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms

Land cover change assessment is one of the main applications of remote sensed data. A number of pixel based classification algorithms have been developed over the past years for the analysis of remotely sensed data. The most notable include the maximum likelihood classifier (MLC), support vector machines (SVMs) and the decision trees (DTs). The DTs in… CONTINUE READING

3 Figures & Tables



Citations per Year

110 Citations

Semantic Scholar estimates that this publication has 110 citations based on the available data.

See our FAQ for additional information.