<title>Roads extraction through texture from aerial and high-resolution satellite images</title>

Abstract

There have been many approaches to the extraction of roads. Even though the complete automatic interpretation of aerial or satellite images is still remote, it is possible to obtain sound results from some images under some conditions. In this work we will show the importance of texture and second order statistics in the recognition of roads from satellite and aerial images. Since this type of images is in general registered, the images can be combine with other information from a GIS. In this work vector layers for roads networks are used in combination with raster aerial or satellite images. Several results with high-resolution satellite and aerial images are presented. Shadows and other obstacles caused some mistakes and they present a problem that remains to be tackled. Despite all this, the importance of texture for the extraction of roads is proven. Future work toward a complete automation introducing new information layers from a GIS is also discussed.