knowledge based fusion of high resolution radar and optical images for road extraction in urban areas
نویسندگان
چکیده
in this article, a new method for fusion of high resolution optical and radar data for higher quality road extraction is presented. the proposed methodology consists of two stages of separate road detection from each data and knowledge based fusion of results. neural networks are separately applied on high resolution ikonos and terrasar-x images for road detection, using a variety of texture parameters. then knowledge based fusion using some thresholds about gray level of narrow roads and vegetation is done. accuracy assessment parameters were evaluated and 79.42% for rcc, 93.51% for bcc and 0.27 for the parameter rmse obtained. the obtained results shows the efficiency of the proposed method.
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