Integration of photogrammetric cues into cartographic feature extraction

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Abstract
Most systems for cartographic features extraction developed within the computer vision and image understanding community make little use of detailed camera information during object detection and delineation. For the most part the scale, size, and orientation of specific features are usually expressed in terms of image pixel size. Given the use of nadir and near-nadir mapping photography this has not severely impacted the development of several techniques at a variety of institutions for building detection, road network extraction, and other specific man-made objects. It is not too unfair to say that the inherent difficulties involved in achieving robust automated object detection and delineation have overshadowed any errors due to lack of rigor in the modeling of the image acquisition. In this paper we will develop several of these issues and discuss how the use of photogrammetric cues will play a major role in future systems for automated cartographic feature extraction.

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