A knowledge-based system for the computation of land cover mixing and the classification of multi-spectral satellite imagery

This paper describes the use of a knowledge-based system to manage a library of image processing programs which performs the computation of land cover mixing in pixels of a multi-spectral satellite image. This system has been developed to help naturalists, such as geologists, pedologists, or foresters who are not specialists in computer vision. It automatically processes the data coming from satellites. The role of such a system is to convert the requirements of a user, expressed in terms of user requests, into the correct image processing commands. Consequently, the users can concentrate their attention on the interpretation of the results and not on the data management. Finally, some examples are shown.