A solution for exterior and relative orientation in photogrammetry, a genetic evolution approach

Space resection is a technique that is commonly used to determine the exterior orientation parameters associated with one image or many images based on known Ground Control Points (GCPs). The term ‘‘exterior orientation’’ of an image refers to its position and orientation related to an exterior coordinate system. Several methods can be applied to determine the parameters of the orientation of one, two or more photos. Several methods have also been developed for the orientation of single photo. They are based on some characteristics of imaged objects. Chen and Shibasaki (1998), Cooper and Robson (1996), Dewitt (1996). In this paper, we present a solution for the determination of the exterior orientation parameters (space resection) based on genetic evolution algorithms. This optimization model for space resection can be implemented with or without redundancy and requires no linearization. The proposed model is simple and converges to the global optimal solution.