Extracting Road Networks From Low Resolution Aerial Imagery

David Izraelevitz; Mark Carlotto

doi:10.1117/12.969008

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25 October 1988 Extracting Road Networks From Low Resolution Aerial Imagery

David Izraelevitz, Mark Carlotto

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Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.969008
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States

Abstract

We present a new algorithm for the enhancement and detection of linear features such as roads in satellite imagery. A cost inversely related to the response of a local linear feature operator is associated with each pixel, and an analysis based on a dynamic programming procedure is performed to determine if each pixel under study is part of a "low cost" path of predominantly linear pixels. The technique has been applied to several SPOT and Landsat images and shown to reduce the false alarm rate (percentage of pixels incorrectly classified as roads) by 50% over techniques which rely on local information alone.

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David Izraelevitz and Mark Carlotto "Extracting Road Networks From Low Resolution Aerial Imagery", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.969008

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