Figures index

From

An Assessment of Artificial Neural Networks, Support Vector Machines and Decision Trees for Land Cover Classification Using Sentinel-2A Data

Rahel Hamad

Applied Ecology and Environmental Sciences. 2020, 8(6), 459-464 doi:10.12691/aees-8-6-18
  • Figure 1. Location map of Soran district in the Kurdistan Region of Iraq, after [27], showing the ANN result map of this specific work
  • Figure 2. An example of a neural network with four inputs and one hidden layer with three hidden neurons, after [34]
  • Figure 3. The optimal separating hyperplane between two separable samples showing a large margin classifier, after [41]
  • Figure 4. The percentage land use/land cover for the city of Soran city as determined by each of the three algorithms considered
  • Figure 5. Standard natural colour composites and land cover classifications via ANN, SVMs, and DTs of the acquired Sentinel-2A imagery