文章基本信息

标题：Application of Neural Networks, Image Processing and Cad-Based Environments Facilities in Automatic Road Extraction and Vectorization from High Resolution Satellite Images
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作者：F. Farnood Ahmadi ; M.J. Valadan Zoej ; H. Ebadi 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B3b
页码：585-592
出版社：Copernicus Publications
摘要：In this article a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in Computer Aided Design (CAD) based system that could be used in Geographical Information System (GIS) with minimum edit. The designed procedure is the combination of image processing algorithms and exploiting CAD-based facilities. In the first step, artificial neural networks are used to discriminate between road and non-road pixels. Then road centerlines are extracted using image processing algorithms such as morphological operators, and a road raster map is produced. Some cleaning algorithms were designed to reduce the existing noises and improve the obtained results. Finally, the edited raster map was vectorized using the CAD-based facilities. Obtained results showed that the structured vector based road centerlines are confirming when compared with road network in the reference map
关键词：Automatic; CAD; Image processing; High resolution images; Neural networks; Road extraction; Vectorization