Dynamic programming approach for semi-automated road extraction from medium- And high-resolution images

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2003-01-01

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This paper presents a dynamic programming approach for semi-automated road extraction from medium- and high-resolution images. This method is a modified version of a pre-existent dynamic programming method for road extraction from low-resolution images. The basic assumption of this pre-existent method is that roads manifest as lines in low-resolution images and as such can be modelled and extracted as linear features. Contrary to this, roads manifest as ribbon features in medium- and high-resolution images and the goal of road extraction methods becomes the road centrelines. As a result, the original method can not accurately extract road centrelines from medium- and high- resolution images. In view of this, we propose a modification of merit function of the original approach, which is carried out by a constraint function embedding road edge properties. Preliminary results demonstrate the modified algorithm’s potential in extracting road centrelines from medium- and high-resolution images.

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Dynamic programming, Edge analysis, Road extraction, Semi-automation, Vision

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 34, p. 87-91.