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Proceedings Paper

Extracting Road Networks From Low Resolution Aerial Imagery
Author(s): David Izraelevitz; Mark Carlotto
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Paper 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.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.969008
Show Author Affiliations
David Izraelevitz, The Analytic Sciences Corporation (United States)
Mark Carlotto, The Analytic Sciences Corporation (United States)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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