Literature review of artificial neural networks and knowledge-based systems for image analysis and interpretation of data in remote sensing

Remote sensing is a scientific discipline involved in the study and management of the environment and natural resources. Current developments in data acquisition and the diversity of sensors generate great amounts of data. The analysis and interpretation of these data requires sophisticated techniques. Some of these techniques come from the artificial intelligence field, and are being used more and more. This article provides a synthesis of how knowledge systems and artificial neural nets are applied in the analysis and interpretation of data coming from remote sensing. The concepts of these two systems are briefly presented and some examples are presented of how they are used or could be used in remote sensing.