Registration of very time-distant aerial images

We address the alignment of historical and present-day aerial photographs. Historical images refer to regions bombed during the Second World War. In these regions, the risk of unexploded bombs is still high, especially where the bombing was more frequent. Alignment is required to fill in an unexploded bombs risk map. The task is challenging because many features in the historical images have changed or are 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 image alignment in order to improve accuracy and to speed up the alignment process.