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A Comparative Study of DEM Reconstruction Using the Single-Baseline and Multibaseline InSAR Techniques
Liu, Shijie1,2,3; Tang, Hongcheng4; Feng, Yongjiu1,2; Chen, Yanling5; Lei, Zhenkun1,2; Wang, Jiafeng1,2; Tong, Xiaohua1,2
2021
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN1939-1404
Volume14Pages:8512-8521
AbstractInterferometric SAR (InSAR) is a practical technique to derive 3-D structure of the earth's surface. This article conducts a comparative study of digital elevation model (DEM) reconstruction using the single-baseline and multibaseline InSAR techniques. To improve the accuracy of the DEM generated from the single-baseline InSAR, we improve the weight definition approach according to the coherence magnitudes for the fusion of single-baseline InSAR DEMs. For multibaseline InSAR, we adopt a method based on the maximum-likelihood estimation (MLE) algorithm, which uses external DEM as a constraint. A TerraSAR-X dataset comprising four SAR images acquired over Barcelona is used for experimental investigation. The accuracies of four types of DEM are comparatively studied, including DEM by single-baseline InSAR, DEM by the fusion of single-baseline InSAR DEMs, DEM by unconstrained multibaseline InSAR, and DEM by constrained multibaseline InSAR. The results show that the proposed weighted fusion of single-baseline InSAR performed slightly better than the constrained multibaseline InSAR method, and both of them performed better than the single-baseline results, demonstrating that multiple observations can effectively improve the accuracy of the reconstructed DEM.
KeywordImage reconstruction Coherence Synthetic aperture radar Surface topography Satellites Antennas Spaceborne radar Digital elevation model (DEM) interferometric SAR (InSAR) maximum-likelihood estimation (MLE) multibaseline
Funding OrganizationNational Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering
DOI10.1109/JSTARS.2021.3105231
WOS KeywordPHASE UNWRAPPING CORRECTION ; RADAR INTERFEROMETRY ; SAR INTERFEROMETRY ; COMBINATION ; GENERATION ; ELEVATION
Language英语
Funding ProjectNational Key R&D Program of China[2017YFB0502705] ; National Natural Science Foundation of China[41631178] ; National Natural Science Foundation of China[42071371] ; Shanghai Natural Science Foundation[17ZR1435700] ; State Key Laboratory of Geo-Information Engineering[SKLGIE2018-Z-3-2] ; State Key Laboratory for Disaster Reduction in Civil Engineering[SLDRCE19-B-36]
Funding OrganizationNational Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Shanghai Natural Science Foundation ; Shanghai Natural Science Foundation ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory of Geo-Information Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering ; State Key Laboratory for Disaster Reduction in Civil Engineering
WOS Research AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000694698900001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/75477
Collection中国科学院国家天文台
Corresponding AuthorFeng, Yongjiu; Tong, Xiaohua
Affiliation1.Tongji Univ, State Key Lab Disaster Reduct Civil Engn, Shanghai 200092, Peoples R China
2.Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China
3.State Key Lab Geoinformat Engn, Xian 710054, Peoples R China
4.F Sq Technol Co Ltd, Beijing, Peoples R China
5.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
Recommended Citation
GB/T 7714
Liu, Shijie,Tang, Hongcheng,Feng, Yongjiu,et al. A Comparative Study of DEM Reconstruction Using the Single-Baseline and Multibaseline InSAR Techniques[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2021,14:8512-8521.
APA Liu, Shijie.,Tang, Hongcheng.,Feng, Yongjiu.,Chen, Yanling.,Lei, Zhenkun.,...&Tong, Xiaohua.(2021).A Comparative Study of DEM Reconstruction Using the Single-Baseline and Multibaseline InSAR Techniques.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,14,8512-8521.
MLA Liu, Shijie,et al."A Comparative Study of DEM Reconstruction Using the Single-Baseline and Multibaseline InSAR Techniques".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14(2021):8512-8521.
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