Road network extraction in classified SAR images using genetic algorithm^①

来源期刊：中南大学学报(英文版)2004年第2期

论文作者：肖志强 鲍光淑 蒋晓确

文章页码：180 - 184

Key words：genetic algorithm; road network extraction; SAR image; fuzzy C means

Abstract: Due to the complicated background of objectives and speckle noise, it is almost impossible to extract roads di-rectly from original synthetic aperture radar(SAR) images. A method is proposed for extraction of road network from high-resolution SAR image. Firstly, fuzzy C means is used to classify the filtered SAR image unsupervisedly, and the road pixels are isolated from the image to simplify the extraction of road network. Secondly, according to the features of roads and the membership of pixels to roads, a road model is constructed, which can reduce the extraction of road network to searching globally optimization continuous curves which pass some seed points. Finally, regarding the curves as individuals and coding a chromosome using integer code of variance relative to coordinates, the genetic operations are used to search global optimization roads. The experimental results show that the algorithm can effectively extract road network from high-resolution SAR images.