中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images

文献类型:期刊论文

作者Peng, Ting1,2,3; Jermyn, Ian H.1; Prinet, Veronique2,3; Zerubia, Josiane1
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2008-06-01
卷号1期号:2页码:139-146
关键词Dense urban area geographical information system (GIS) multiscale analysis road network extraction variational model very high resolution (VHR) image
英文摘要This paper addresses the problem of updating digital road maps in dense urban areas by extracting the main road network from very high resolution (VHR) satellite images. Building on the work of Rochery et al. (2005), we represent the road region as a "phase field." In order to overcome the difficulties due to the complexity of the information contained in VHR images, we propose a multiscale statistical data model. It enables the integration of segmentation results from coarse resolution, which furnishes a simplified representation of the data, and fine resolution, which provides accurate details. Moreover, an outdated GIS digital map is introduced into the model, providing specific prior knowledge of the road network. This new term balances the effect of the generic prior knowledge describing the geometric shape of road networks (i.e., elongated and of low-curvature) carried by a "phase field higher order active contour" term. Promising results on QuickBird panchromatic images and comparisons with several other methods demonstrate the effectiveness of our approach.
WOS标题词Science & Technology ; Technology ; Physical Sciences
类目[WOS]Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
研究领域[WOS]Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
关键词[WOS]ACTIVE CONTOURS ; HIGH-RESOLUTION ; AERIAL IMAGES
收录类别SCI
语种英语
WOS记录号WOS:000265491900007
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9581]  
专题自动化研究所_09年以前成果
作者单位1.INRIA, I3S, Project Team Ariana, F-06902 Sophia Antipolis, France
2.Chinese Acad Sci, LIAMA, Inst Automat, Beijing 100190, Peoples R China
3.Chinese Acad Sci, NLPR, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Peng, Ting,Jermyn, Ian H.,Prinet, Veronique,et al. Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2008,1(2):139-146.
APA Peng, Ting,Jermyn, Ian H.,Prinet, Veronique,&Zerubia, Josiane.(2008).Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,1(2),139-146.
MLA Peng, Ting,et al."Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 1.2(2008):139-146.

入库方式: OAI收割

来源:自动化研究所

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