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Proceedings Paper

Automated identification of rivers and shorelines in aerial imagery using image texture
Author(s): Paul McKay; Cheryl Ann Blain; Robert Linzell
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Paper Abstract

A method has been developed which automatically extracts river and river bank locations from arbitrarily sourced high resolution (~1m) visual spectrum imagery without recourse to multi-spectral or even color information. This method relies on quantifying the difference in image texture between the relatively smooth surface of the river water and the rougher surface of the vegetated land or built environment bordering it and then segmenting the image into high and low roughness regions. The edges of the low roughness regions then define the river banks. The method can be coded in any language without recourse to proprietary tools and requires minimal operator intervention. As this sort of imagery is increasingly being made freely available through such services as Google Earth or Worldwind this technique can be used to extract river features when more specialized imagery or software is not available.

Paper Details

Date Published: 4 May 2011
PDF: 15 pages
Proc. SPIE 8030, Ocean Sensing and Monitoring III, 80300G (4 May 2011); doi: 10.1117/12.883283
Show Author Affiliations
Paul McKay, U.S. Naval Research Lab. (United States)
Cheryl Ann Blain, U.S. Naval Research Lab. (United States)
Robert Linzell, QinetiQ North America (United States)

Published in SPIE Proceedings Vol. 8030:
Ocean Sensing and Monitoring III
Weilin W. Hou; Robert Arnone, Editor(s)

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