Satellite image classification with Tensorflow and Keras. The dataset used is available here. The network architecture is based on the PatreoNet, however pretrained weights were not used.

_{Flowchart of network architecture.
Credit: Towards better exploiting convolutional neural networks for remote sensing scene classification - Keiller Nogueira, Otávio A.B. Penatti b, Jefersson A. dos Santos}

Accuracy: 72.5%
Loss: 0.562

There is still a lot of room for improvement, the presented version is the first one.