Deep-learning (DL) algorithms, which learn the representative and discriminative features in
a hierarchical manner from the data, have recently become a hotspot in the machine …

Life of any living being is impossible if it does not have the ability to differentiate between
various things, objects, smell, taste, colors, etc. Human being is a good ability to classify the …

Remote sensing (RS) image classification plays an important role in the earth observation
technology using RS data, having been widely exploited in both military and civil fields …

The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

Learning efficient image representations is at the core of the scene classification task of
remote sensing imagery. The existing methods for solving the scene classification task …

The contextual-based convolutional neural network (CNN) with deep architecture and pixel-
based multilayer perceptron (MLP) with shallow structure are well-recognized neural …

The past years have witnessed great progress on remote sensing (RS) image interpretation
and its wide applications. With RS images becoming more accessible than ever before …