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Short-Term Landslide Displacement Detection Based on GNSS Real-Time Kinematic Positioning
Shen, Nan1; Chen, Liang1; Wang, Lei1; Hu, Hao1; Lu, Xiangchen1; Qian, Chuang2; Liu, Jingbin1; Jin, Shuanggen3,4; Chen, Ruizhi1
2021
Source PublicationIEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
ISSN0018-9456
Volume70Pages:14
AbstractGlobal navigation satellite system (GNSS) is one of the most effective means for landslide monitoring. At present, most studies on GNSS-based landslide monitoring focus on the long-term landslide analysis, while short-term landslide displacement is not clear. The purpose of this article is to explore a short-term displacement detection method based on GNSS kinematic positioning for landslide monitoring. The significance and feasibility of short-term landslide monitoring are presented, and a short-term displacement detection method based on GNSS kinematic positioning time series segmentation is proposed. The coordinate time series is reconstructed by the Daubechies wavelet to extract the abrupt components. The detection window is formed by the current epoch coordinates and the previous epochs' coordinates and segmented according to the segmentation index. The segmentation point obtained by segmenting the detection window is regarded as a possible change point (PCP), and a test is conducted to determine whether the segmentation point is a change point (CP). Simulation and field experiments were carried out to verify the proposed method. The results show the feasibility and effectiveness of the method for short-term landslide change detection. The influence of the detection window size and segmentation index on the proposed method is discussed, and suggestions for the selection of detection window size as well as segmentation index are given.
KeywordGlobal navigation satellite system (GNSS) kinematic positioning landslide short-term displacement detection segmentation
Funding OrganizationNational Key Research and Development Program ; National Key Research and Development Program ; Natural Science Fund of Hubei Province ; Natural Science Fund of Hubei Province ; National Key Research and Development Program ; National Key Research and Development Program ; Natural Science Fund of Hubei Province ; Natural Science Fund of Hubei Province ; National Key Research and Development Program ; National Key Research and Development Program ; Natural Science Fund of Hubei Province ; Natural Science Fund of Hubei Province ; National Key Research and Development Program ; National Key Research and Development Program ; Natural Science Fund of Hubei Province ; Natural Science Fund of Hubei Province
DOI10.1109/TIM.2021.3055278
Language英语
Funding ProjectNational Key Research and Development Program[2018YFB0505400] ; Natural Science Fund of Hubei Province[2018CFA007]
Funding OrganizationNational Key Research and Development Program ; National Key Research and Development Program ; Natural Science Fund of Hubei Province ; Natural Science Fund of Hubei Province ; National Key Research and Development Program ; National Key Research and Development Program ; Natural Science Fund of Hubei Province ; Natural Science Fund of Hubei Province ; National Key Research and Development Program ; National Key Research and Development Program ; Natural Science Fund of Hubei Province ; Natural Science Fund of Hubei Province ; National Key Research and Development Program ; National Key Research and Development Program ; Natural Science Fund of Hubei Province ; Natural Science Fund of Hubei Province
WOS Research AreaEngineering ; Instruments & Instrumentation
WOS SubjectEngineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000636274000077
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/78381
Collection中国科学院国家天文台
Corresponding AuthorChen, Liang
Affiliation1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
2.Wuhan Univ Technol, Intelligent Transport Syst Res Ctr, Wuhan 430070, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
4.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
Recommended Citation
GB/T 7714
Shen, Nan,Chen, Liang,Wang, Lei,et al. Short-Term Landslide Displacement Detection Based on GNSS Real-Time Kinematic Positioning[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021,70:14.
APA Shen, Nan.,Chen, Liang.,Wang, Lei.,Hu, Hao.,Lu, Xiangchen.,...&Chen, Ruizhi.(2021).Short-Term Landslide Displacement Detection Based on GNSS Real-Time Kinematic Positioning.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,70,14.
MLA Shen, Nan,et al."Short-Term Landslide Displacement Detection Based on GNSS Real-Time Kinematic Positioning".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 70(2021):14.
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