This paper introduces a new open source, knowledge-based platform for automatic image interpretation called
InterIMAGE. The architecture, main features as well as an overview on the interpretation strategy implemented in
InterIMAGE is presented. The paper also reports an experiment based on a Geomorphology application. The
experiment's objective was the automatic identification of geomorphological features using a knowledge model that
considered a set of textural and geomorphometric variables extracted from a digital elevation model obtained from a pair
of stereoscopic ASTER/Terra images. The experiment's results showed a strong agreement between the automatically
classified scene and a reference map. A similar experiment was carried out with a commercial, image interpretation
software - Definiens Professional -, and the results attained with both software packages were comparable.