Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets
Unfortunately, a simple stacking of both datasets together does not provide improvement
Class Imbalance Effect
It shows that the balancing does not improve the accuracy of the big classes, while for small classes, several balancing methods improve the accuracy. However, of all the four exemplary methods, no one performs the best for all LCZs.