Lineal feature detection of rural imagery using multiresolution filters

Samuel Peter Kozaitis; Rufus H. Cofer

doi:10.1117/12.484892

14 August 2003 Linear feature detection of rural imagery using multiresolution filters

Proceedings Volume 5097, Geo-Spatial and Temporal Image and Data Exploitation III; (2003) https://doi.org/10.1117/12.484892
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Samuel Peter Kozaitis and Rufus H. Cofer "Linear feature detection of rural imagery using multiresolution filters", Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); https://doi.org/10.1117/12.484892

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