Change-detection of land cover using fuzzy sets and remotely sensed data

This work present a technique for computing land cover changes by using remotely sensed technologies and fuzzy modeling. In order to assess the effectiveness of this technique, we carried out experiments on two different data sets: one was a real multitemporal data set composed of two multispectral images acquired by the Thematic Mapper sensor of the Landsat 7 satellite of a region in Brazil under severe degradation process; the other was a synthetic data set generated to evaluate the robustness of the used technique against the use of noise.