Overview on remote sensing image scene classification using deep learning

Abstract

Now a days, deep learning is becoming very famous dueto its power fulability of learning. Deep learning has been applied for remote sensing image analysis tasks including scene classification. Remote sensing has seen an enormous increase in the enhancement of digital images captured from satellites that cover almost all angle of the surface of the earth. This growth in data has forced the community of the remote sensing to apply deep learning algorithms to solve different remote sensing tasks. Convolutional neural networks have obtained huge success in the field of scene classification. The current best scene classification approaches are still far from achieving the human’s ability to classify scene types with a few labelled samples. This study provides a systematic survey of deep learning methods for remote sensing image scene classification by covering mover than 9papers.Inthispaper, we provide a brief discussion on Convolutional neural networks. Here we also discussed few-shot learning algorithm to overcome the gap between the current understanding level of machine and human-level performance.