A model for automatic geomapping of aerial images mosaic acquired by UAV

In this paper, we propose a novel approach for an automatic aerial image georeferencing for an unmanned aerial vehicle (UAV) image data acquisition platform that does not require the use of ground control points (GCPs). The determination of GCPs is, in general, a costly and slow process, hence a considerable bottleneck in georeferencing. With predefined route planning and making a mosaic of acquired aerial images, we managed to calculate world file transformation. In comparison with manual collecting GCPs, our automatic georeferenced results indicated that position errors were less than 92 cm. This accuracy is considered sufficient for most of the intended precision for search and rescue purposes.