Aerial image classification based on sparse representation and deep belief network

Due to the rapid development of satellite sensor technology, a rich aerial image data set can be easily acquired. How to efficiently classify and recognize the aerial image has become a critical task. In this paper, we propose an aerial image classification approach based on sparse representation and deep belief network (DBN). Low-level features are… CONTINUE READING