Registration of very time-distant aerial images

In this paper we address the alignment of historical and present-day aerial photographs. Historical images refer to regions bombed during the second world war. In this regions the risk of unexploded bombs is still high, especially where the bombing were more frequent. The alignment is required to fill-in an unexploded bombs risk map. The task is challenging because a lot of features in the historical images are changed or missing (and vice versa). Moreover, in the historical images, bomb craters introduce large gray level variations so that it is difficult to extract features automatically. This work propose a semi-automatic application for images alignment in order to improve the accuracy and speed up alignment process.