A remote sensing user does not photointerprete image pixels, but entities. Therefore, there is a segmentation processing, previous to the recognition itself. What we propose in this paper, is to automate the segmentation by using of monospectral, multispectral and multitemporal properties, measured by several criteria. The combination of these criteria is performed by means of tools of the fuzzy sets theory. A designated entity is automatically segmented by combining a sequence of criteria in order to converge towards the final decision without any thresholding, weighing, . . .

The ready access to the multitemporal data belonging to a same designated entity, is obtained by comparing the segmentation results at different dates, through geometric deformation models.

Finally the radiometries, extracted entity/entity, by using this segmentation method, feed the diachronic analysis in the context of the Lauragais experiment.

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