Georeferenced road extraction and formulation of hypotheses for new road segments
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Data
2000-01-01
Autores
Dal Poz, Aluir P. [UNESP]
Agouris, Peggy [UNESP]
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Resumo
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 operator 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 (DP) 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.
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Algorithms, Database systems, Dynamic programming, Error analysis, Feature extraction, Geographic information systems, Change detection, Correlation based analysis, Edge based analysis, Georeferenced road extraction, Data acquisition
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Proceedings of SPIE - The International Society for Optical Engineering, v. 4054, p. 56-65.