NATURAL LANGUAGE DESCRIPTION OF REMOTE SENSING IMAGES BASED ON DEEP LEARNING

The semantic description of remote sensing image is a useful and meaningful task, which can help us to get a better understanding of the scene depicted in the remote sensing images and make better use of the remote sensing images. Nature language provides good solution for describing the semantic information of remote sensing images. Nature language description of a remote sensing image is to generate a meaningful sentence given a remote sensing image. This paper presents a novel method based on deep learning. First, a convolutional neural network is utilized to detect the main objects of the remote sensing images. Then a recurrent neural network language model is utilized to generate the natural language descriptions of the objects which are detected in the first step. Experimental results on a set of remote sensing images demonstrate that the proposed method is able to generate desirable description of the scene.