3D-Building Reconstruction Approach Using Semi-global Matching Classified

The complexity problems of a city makes the understanding of three-dimensional spatial structure of urban areas becoming very important, for example in the field of urban planning, telecommunications, updating maps and GIS information, Intelligent Transportation System, and monitoring of urban growth that occurs very rapidly, especially in cities of the developing countries. Techniques for obtaining Digital Surface Model (DSM) of a region continues to evolve, the continued development of technology with high-resolution satellite imagery provides an alternative data and information that is more promising, especially in those countries are not available aerial photography and LIDAR technology. DSM is not sufficient to meet the need for data and information about the city, to generate data that can be understood and utilized furthermore, still needs other processes to be done such as the objects separation process, building with other building, roads, rivers, plants and etc. This paper proposes a model for the 3D reconstruction of buildings automatically using satellite imagery data. In our approach, we propose to use a basic method Semi-Global Matching (SGM) with performed the detection and classification process. This approach aims to increase the accuracy of height estimation, faster computation time and low computational load.