Remote Sensing Image Information Extraction Method Based on Clustering and Artificial Neural Network

Abstract

With the improvement of the availability of artificial neural network technology, the analysis of the change trend and development trend of remote sensing image is more and more demanding. Great progress has been made in developing the application data of various artificial network technologies and proposing various remote sensing image information classification technologies. However, there is still a lack of systematic in the literature about the application data and methods of artificial neural network technology. In addition, almost all existing data sets have some limitations, including the small number of artificial neural network data and remote sensing images, the lack of image variation and diversification, and the saturation of accuracy. These limitations seriously hinder the new breakthrough of the method, especially the method based on clustering and artificial neural network technology. Firstly, this paper reviews the research progress in recent years. Then, the artificial neural network technology in the extraction of remote sensing image information technology is studied.