Smart Deep-Learning Model for Classification of Remote Sensing Images

Abstract

Automatic analysis and detection for remote sensing pictures is an extremely cost-effective approach, which leads to higher image resolution, it is essential that use data and data from remote sensing images can be derived from the remote sensing approach for image classification, which has undergone substantial enhancements over numerous decades of increase. Then we analyzed in-depth methods focused on learning and implemented metrics of the standard scene classification. Next, the results were analyzed by the performance of a deep learning algorithm. Our proposed model is hybrid (SVM+CNN) provided considerably better classification precision compared to traditional classification methods.

Keywords - Deep Learning, Remote Sensing Images, Convolutional Neural Network