It is generally accepted that geographical information or G.I. (such as texts, maps and tables) is chiefly composed of 3 kinds of criteria : spatial, temporal and thematic criteria. The main focus of this article is spatial criteria. More specifically, we have developed a processing sequence that can extract the spatial information contained in non-structured cultural heritage texts. This proce...

This paper presents a group of elements to improve the teaching and learning in technological education, applied to Information and Communication Technologies (ICT). These elements are based on some contributions issued from contemporary education models, namely, the thematic approach, meaningful learning, concept maps and the spiral curriculum. Based on a thematic approach, a new way is propos...

The CLC (Combined Location Classification) error model provides indices for overall data uncertainty in thematic spatio-temporal datasets. It accounts for the two major sources of error in such datasets, location error and classification error. The model assumes independence between error components, while recent studies revealed various degrees of correlation between error components in actual...

In this study, a fuzzy-based multisensor data fusion classifier is developed and applied to land cover classification using ERS-1/JERS-1 SAR composites. This classifier aims at the integration of multisensor and contextual information in a single and a homogeneous framework. Initial Fuzzy Membership Maps (FMM) to different thematic classes are first calculated using classes and sensors a priori...