A survey of road feature extraction methods from raster maps

Maps contain abundant geospatial information, such as roads, settlements, and river networks, to name a few. The need access this information carry out analyses (e.g., in transportation, landscape planning, or ecology), well advances software hardware technologies, have driven the development of workflows efficiently extract features from maps. aim article is provide comprehensive overview methods road raster are categorized based on classes techniques they employ line extraction), their subclasses tracing, Hough transform), amount user intervention required interactive, automatic), data scanned maps, contemporary vector data) produced results raster-based predictions, vector-based results, attributes). Additionally, recent extraction overhead imagery, together with evaluation that will possibly benefit reviewed. Furthermore, evolution research field analyzed over past 35 years limitations current techniques, possible future directions, discussed.