A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral Classification

Figure 9

Partition policy: datasets are divided into 3 parts (20%, 20%, and 60%). The training task uses 60% of the samples. The validation task uses 20%. The testing task uses the remaining 20%.