An evaluation of knowledge-based interpretation applied to low-resolution satellite images

The present paper presents the preliminary results of a research aiming at evaluating the potential of knowledge-based approaches for the interpretation of low-resolution satellite images. This work applies a knowledge-based image interpretation system, so-called GEOAIDA, developed at the University of Hannover, Germany, which hires semantic networks and external operators to model the knowledge basis as well as takes advantage of additional data from geographic information systems, GIS. GEOAIDA is used to perform automatically the post-editing, one of the steps of visual interpretation, aiming at mimicking the reasoning of a trained photo-interpreter when he refines the result of a pixel classification procedure. The results obtained hitherto show that the use of knowledge-based approaches for this purpose is promising and, in the future, can be used to automate the post-editing.