<title>First results of parallel global object reconstruction using digitized aerial photographs</title>

Abstract

Global object reconstruction or global matching is a general model for digital photogrammetry, integrating area-based multi-image matching, point determination, object surface reconstruction and ortho-image generation. Using this model, the unknown quantities are estimated directly from the pixel intensity values and from control information in a nonlinear least squares adjustment. The unknown quantities are the geometric and radiometric parameters of the approximation of the object surface (e.g. the heights of a digital terrain model and the brightness values of each point on the surface), and the orientation parameters of the images. Because the method is rather computation intensive it is now being implemented on parallel computer architectures. In the first phase digitized aerial photographs are used in the testing of the system. In this paper the first and very preliminary results are presented.