Mid-Level Feature Representation via Sparse Autoencoder for Remotely Sensed Scene Classification.

Feature representation is a classic problem in the machine learning community due to the fact that different representations can entangle and hide more or less the different explanatory factors of variation behind the raw data. Especially for scene classification, its performance generally depends on the discriminative power of feature representation. Recently, unsupervised feature learning attrac...