Deep learning for remote sensing images with open source software Deep learning backgrounds Software Data used : the Tokyo dataset A simple convolutional neural network Fully convolutional neural network Classifiers on deep features Dealing with multiple sources Semantic segmentation of optical imagery Data used : the Amsterdam dataset Mapping buildings Gap filling of optical images : principle The Marmande dataset Pre processing Model training Inference.