Remote Sensing Images Recognition by Deep Convolutional Neural Networks

Abstract

Remote sensing image recognition is widely applied, such as agriculture, forest monitoring and meteorology. The effect of remote sensing application analysis greatly depends on the accuracy of image recognition. In this paper, we proposed an image recognition method for remote sensing images using deep convolutional neural network. The neural network learned the feature via training data automatically. After training, the network can recognize query images in a relative high accuracy. According to the experimental results, the proposed method shows a good performance on a given remote sensing image dataset.