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Line-based registration for UAV remote sensing imagery of wide-spanning river basin
Language英语
Zang, Wenqian1; Lin, Jiayuan1; Zhang, Baosen2; Tao, Heping1; Wang, Zhongmei2
Corresponding AuthorLin, Jiayuan (linjiayuan@gmail.com)
2011
Source Publication2011 19th International Conference on Geoinformatics, Geoinformatics 2011 ; Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
Pages1-4
Conference DateJune 24, 2011 - June 26, 2011
Conference PlaceShanghai, China
Publication PlacePiscataway, NJ 08855-1331, United States
PublisherIEEE Computer Society
Funding OrganizationIEEE Geoscience and Remote Sensing Society (IEEE GRSS)
Abstract

With the development of Unmanned Aerial Vehicles (UAVs) remote sensing technique, some researchers began to apply the UAV imagery to investigate YellowRiver's dike hazards. There has been an urgent need for establishing automatic and accurate registration techniques of UAV remote sensing imagery. High-precision image registration will enhance the reliability of the investigation. As the Yellow River is very wide, it is very difficult to find enough Ground Control Points (GCP) and the limited GCPs are usually distributed unevenly. Therefore, the traditional point-based image registration approach cannot satisfy the requirements ofimagery registration. However, the river basin contains linear features richly. This paper proposes a line-based registration approach for UAV remote sensingimagery of the wide-spanning river basin. This method regards the segment straight line as the registration primitives. After detect the primitives of input images, we estimate the parameters of transformation model between reference-image and registering-image with Modified Iterated Hough Transform (MIHT). Experiments using the UAV imagery of Ning-Meng section of Yellow River conclude that this is a robust method for registration for UAV remote sensing imagery of wide-spanning river basin. 

KeywordUnmanned Aerial Vehicles (Uav) Remote Sensing Image Registration Yellow River
DOI10.1109/GeoInformatics.2011.5980864
Indexed ByEI
Accession numberAccession number:20113614308293
Citation statistics
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/17877
Collection数字山地与遥感应用中心
Affiliation1.Institute of Mountain Hazards and Environment, Chinese Academy of Science
2.Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission
Recommended Citation
GB/T 7714
Zang, Wenqian,Lin, Jiayuan,Zhang, Baosen,et al. Line-based registration for UAV remote sensing imagery of wide-spanning river basin[C]. Piscataway, NJ 08855-1331, United States:IEEE Computer Society,2011:1-4.
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