Abstract:

The concept of deep learning has been a hot topic in machine learning and artificial intelligence since it was put forward. In particular, the deep learning, a deep neural network learning machine algorithm, is closely combined with the classification and recognition of remote sensing images, so that the local minimization of the traditional training algorithm can be solved. This paper briefly introduces the development of remote sensing image classification and recognition algorithms and the limitations of classical algorithms. Secondly, it introduces several mainstream algorithms of deep learning and analyzes their application status in remote sensing image classification and recognition processing. Finally, the future trend of application of deep learning in remote sensing recognition and classification is prospected.

Key words: deep learning, classification and recognition, remote sensing image, application status