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Proceedings Paper

Georeferenced road extraction and formulation of hypotheses for new road segments
Author(s): Aluir Porfirio Dal Poz; Peggy Agouris
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Paper 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.

Paper Details

Date Published: 27 July 2000
PDF: 10 pages
Proc. SPIE 4054, Automated Geo-Spatial Image and Data Exploitation, (27 July 2000); doi: 10.1117/12.394106
Show Author Affiliations
Aluir Porfirio Dal Poz, Sao Paulo State Univ. (United States)
Peggy Agouris, Univ. of Maine (United States)

Published in SPIE Proceedings Vol. 4054:
Automated Geo-Spatial Image and Data Exploitation
William E. Roper; Mark K. Hamilton, Editor(s)

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