Automatic extraction of roads is a present research topic. Many applications like topographic mapping, navigation applications, or image registration could profit from such algorithms. This paper is concerned with automatic road extraction from synthetic aperture radar (SAR) imagery. An approach originally developed for the extraction of roads in rural areas from optical imagery with a ground p...

Classifying roads in remotely sensed imagery has been addressed by a number of research efforts. Detecting these features is important for a variety of endeavors such as agricultural assessment and urban planning. This study investigates the viability of using a pulse-coupled neural network to recognize roads in Landsat-4 Thematic Mapper multispectral imagery.