عنوان مقاله [English]
The production of urban maps by photogrammetric method, utilizing the automation of all stages and processes, including relative justification, is very important. Despite the many advances made in digital photogrammetry, there is still no reliable way to perform automatic relative justification operation (ARO) on large-scale images of urban areas. In many research and development centers in the world, extensive efforts are being made to secure a consistent formulation for the matching of mapping process. Here, a method is examined and suggested that is special in some ways and is done using linear shear and edge features, surface correspondence and relative justification. This method, in the situation where the correspondence is normal, estimates the parameters of the mathematical model for the feature of two data sets of the feature. When relative justification is used, a single-page model is used to connect the pixels of the selected edges, or, a pair of consecutive images is used for the points of features. In implementing this method, the relative justification parameters are applied, by using a single-page model to evaluate all of the proper image couple, inputs and selection of the most probable solution, in order. As a result, a feature adaptation technique used to resolve the parameter is directly determined.