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Proceedings Paper

Lineal feature detection of rural imagery using multiresolution filters
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Paper Abstract

We detected roads in aerial imagery using a method based on lineal feature detection. Our method used the products of wavelet coefficients at several scales were to identify and locate lineal features. Using our approach effectively increased the size of the region we examined when looking for possible road pixels, and decreased the probability of false positive road pixels. Then, we used a shortest path algorithm to link road pixels to form road networks. Our approach restricted possible road network solutions based on the initial detection of road pixels. We found that our approach leads to an effective method for detecting roads in aerial imagery. The method is general and can be applied to other features in imagery.

Paper Details

Date Published: 14 August 2003
PDF: 12 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.484892
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Rufus H. Cofer, Florida Institute of Technology (United States)

Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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