DocumentCode
244182
Title
Extraction of Bridges from High Resolution Remote Sensing Image Based on Topology Modeling
Author
Haitao Lu ; Yong Deng ; Zhijian Huang ; Jinfang Zhang
Author_Institution
Sci. & Technol. on Integrated Inf. Syst. Lab., Inst. of Software, Beijing, China
fYear
2014
fDate
11-14 March 2014
Firstpage
494
Lastpage
499
Abstract
Bridges are the hubs of transportation, so it is important to identify and locate bridges for satellite image interpretation. This paper proposes a new method of bridge extraction from high resolution remote sensing images. Firstly, river regions are segmented and road lineaments are extracted. Then, bridge region is represented as intersection of river with roads or roads with roads by using the recognition model proposed in this paper. Finally, a rule-based procedure is applied to verify candidate regions. The experiment results show that, not only bridges over river but also the overpasses can be extracted effectively. The method mainly uses structural information of lineaments on roads and the topological relations in bridge regions, and does not rely on accurate results of river segmentation, so it is robust for complex scenes.
Keywords
bridges (structures); feature extraction; geophysical image processing; image resolution; image segmentation; knowledge based systems; remote sensing; bridge extraction; high resolution remote sensing image; linear feature extraction; recognition model; river segmentation; rule-based procedure; satellite image interpretation; topology modeling; Bridges; Data mining; Feature extraction; Image resolution; Image segmentation; Rivers; Roads; bridge extraction; high resolution remote sensing image; linear feature; topological information;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Engineering (IC2E), 2014 IEEE International Conference on
Conference_Location
Boston, MA
Type
conf
DOI
10.1109/IC2E.2014.79
Filename
6903517
Link To Document