Supervised Classification of Multisensor Remotely Sensed Images Using a Deep Learning Framework

In this paper, we present a convolutional neural network (CNN)-based method to efficiently combine information from multisensor remotely sensed images for pixel-wise semantic classification. The CNN features obtained from multiple spectral bands are fused at the initial layers of deep neural network... View More