文章基本信息

标题：NEW INFORMATION TECHNOLOGY OF PERFORMANCE EVALUATION OF ROAD EXTRACTION FROM HIGH RESOLUTION SATELLITE IMAGES BASED ON PCNN AND C-V MODEL
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作者：Kumar, Ganesh ; Murugan, D. ; Kavitha, R. 等
期刊名称：INFORMATOLOGIA
印刷版ISSN：1330-0067
出版年度：2014
卷号：47
期号：2-3
页码：121-134
语种：English
出版社：Social sciences; Information sciences;
摘要：Road extraction from high resolution satellite images has been an important research topic for analysis of urban areas. In this paper road extraction based on PCNN and Chan-Vese active contour model are compared. It is difficult and computationally expensive to extract roads from the original image due to presences of other road-like features with straight edges. The image is pre-processed using median filter to reduce the noise. Then road extraction is performed using PCNN and Chan-Vese active contour model. Nonlinear segments are removed using morphological operations. Finally the accuracy for the road extracted images is evaluated based on quality measures.
关键词：Image Segmentation; Road Extraction; Morphological operations