New object-oriented approach for urban objects extraction from VHSR images

The goal of our research is to develop a new object-oriented approach of image analysis for extraction of urban objects from very high spatial resolution images. The proposed approach is constituted of two stages: a passage of pixels to primitive objects and a passage of primitives to final objects. The first stage leaves from pixels to create primitives of objects by using a new multispectral non parametric segmentation approach. For the second stage, it is based on a fuzzy rule base and a spatial analysis. The proposed approach was applied on an Ikonos image of Sherbrooke (Canada). A confrontation with the ground truth gave a rate of 85% of good detection. These results are encouraging because the new approach does not requires any prior information or training data.