METROPOGIS: The next generation

Abstract

This paper describes a highly automatic work flow for urban model generation from digital aerial imagery. The images used in our approach feature one high resolution panchromatic channel and four lower resolution channels (red, green, blue and near infrared). In the first step an initial land use classification is performed where a support vector machine is applied to each image. Subsequently the Aerial Triangulation algorithm integrates area- and feature-based points of interest to determine the position and orientation of all images. Afterwards, a digital surface model is generated by a dense image matching procedure. Based on the AT and dense image matching result a true ortho image is computed. Different layers for building blocks, streets, vegetation or water regions are generated from a refined land use classification. The building block layer is used in a subsequent step to extract polygonized buildings.