The advent of imaging very high spatial resolution has currently evolving representation of the study areas with high precision by providing a vision similar to that issued by the aerial images.nbsp However, their analysis requires new methods to deal with the multitude and diversity of information of information present in these images. Our contribution is to apply the level set method segmentation for very high spatial resolution. It is widely used in image processing field and has proven its effectiveness