Survey on the Utilization of Artificial Intelligence in Remote Sensing

This manuscript reviews current research on the usage of artificial intelligence in remote sensing and related sub-fields. Remote sensing is a geographic analysis tool capable of producing large quantities of data in the spectral, temporal and spatial domains. Artificial intelligence (AI) is the field of research which develops computer programs to solve problems in ways that appear to emulate human intelligence. Techniques for automating the image analysis process would be advanced by the inclusion of artificial intelligence techniques in the design of image processing systems. The remote sensing applications which show promise for successful implementation of artificial intelligence techniques are intelligent onboard processing, advanced database interrogation, and the automated analysis of multispectral imagery. While general purpose programs for AI have proven too difficult to develop, it was found useful, at times, to store separately information that could be used to make a computer program behave intelligently. Various knowledge-based systems have been built for processing images in the fields of robotics, natural language interface, computer vision and geographic information systems. Intelligent classification is a hot topic in remote sensing study. Traditional approaches of classification may have some limitations in constructing proper classifiers when the study area is complex. Therefore, it is necessary to introduce intelligent methods to improve the accuracy of classification.