This article discusses the increasing use of machine learning, specifically deep learning models, in remote sensing applications. It highlights the benefits of these models, such as improved performance and the ability to handle different types of remote sensing data. However, there is still room for improvement in terms of generalization and the potential for using quantum machine learning in this field. The article also mentions the importance of continued development in this area due to growing population and climate challenges.
