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Fuzzy spatial relations for high resolution remote sensing image analysis: The case of “to go across”

High resolution remote sensing (HR RS) images allow discriminating between different objects in a scene. Spatial reasoning techniques can be used to interpret and describe the scene. One component of spatial reasoning deals with the modeling and assesment of spatial relations among objects. In this work we propose three models that seize the semantics of the spatial relations “to go across” and “to go through” between a linear object and a region. To develop these three models we considered the usual perception of these natural language expressions which leads to the development of the three fuzzy models. They have been implemented and tested in scenes of HR RS images. Results are in good agreement with intuition.