Proceedings of SPIE - the International Society for Optical Engineering
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.
Kozaitis, S. P., & Cofer, R. H. (2003). Lineal feature detection of rural imagery using multiresolution filters. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5097 106-117