METHOD OF DETERMINING CONJUGATE POINTS AUTOMATICALLY USED TO CALCULATE THE ELEMENTS OF RELATIVE ORIENTATION
It is possible to improve the process of getting geospatial information rapidly via automating the processes of photogrammetric plotting. At a number of modern digital photogrammetric systems extremal correlation methods are used in order to determine conjugate points automatically. The main disadvantage of such method is bad quality of images. This approach doesn’t allow determining conjugate points automatically and it claims operator assistance from the very beginning. The process of automation is to be improved by developing new approaches to solve tasks of selection and matching conjugate points of space images. The method proposed is based on algorithms taken in discipline of computer vision and consists of two stages. On the first stage a set of particular points is to be got via using algorithms of search and demerger. The second stage is oriented to comparing points inside a set. Degree of conjugation points matching can be determined via descriptor. Descriptor which is based on a range of characteristics identifies a point and demerges it from a set of conjugate points. These algorithms can’t give fully precise data so there are cases of wrong matching. To avoid that the unique RANSAC technology of rejecting wrongly matched points is used. Thus it can be argued that the process of conjugate points determining could be fully automated via using new algorithms. It will speed up the process of photogrammetric plotting of space images and geospatial information would be got rapidly.