Georeferenced road extraction and formulation of hypotheses for new road segments

Aluir Porfirio Dal Poz; Peggy Agouris

doi:10.1117/12.394106

27 July 2000 Georeferenced road extraction and formulation of hypotheses for new road segments

Aluir Porfirio Dal Poz, Peggy Agouris

Proceedings Volume 4054, Automated Geo-Spatial Image and Data Exploitation; (2000) https://doi.org/10.1117/12.394106
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The acquisition and update of Geographic Information System (GIS) data are typically carried out using aerial or satellite imagery. Since new roads are usually linked to georeferenced pre-existing road network, the extraction of pre-existing road segments may provide good hypotheses for the updating process. This paper addresses the problem of extracting georeferenced roads from images and formulating hypotheses for the presence of new road segments. Our approach proceeds in three steps. First, salient points are identified and measured along roads from a map or GIS database by an operate or an automatic tool. These salient points are then projected onto the image-space and errors inherent in this process are calculated. In the second step, the georeferenced roads are extracted from the image using a dynamic programming algorithm. The projected salient points and corresponding error estimates are used as input for this extraction process. Finally, the road center axes extracted in the previous step are analyzed to identify potential new segments attached to the extracted, pre-existing one. This analysis is performed using a combination of edge-based and correlation-based algorithms. In this paper we present our approach and early implementation results.

Citation Download Citation

Aluir Porfirio Dal Poz and Peggy Agouris "Georeferenced road extraction and formulation of hypotheses for new road segments", Proc. SPIE 4054, Automated Geo-Spatial Image and Data Exploitation, (27 July 2000); https://doi.org/10.1117/12.394106

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