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Deformation Process Fusion Acquired by GNSS and SBAS-InSAR Based on a Spatiotemporal Kalman Filter

dc.contributor.authorWu, Qiong
dc.contributor.authorShi, Weiwei
dc.contributor.authorLi, Hongqing
dc.contributor.authorQiu, Zhongjun
dc.contributor.authorJia, Junqian
dc.contributor.authorFan, Ruixue
dc.contributor.authorZhu, Chunyu
dc.contributor.authorZhao, Han
dc.contributor.authorLan, Meixuan
dc.date.accessioned2026-08-20T12:29:58Z
dc.date.available2026-08-20T12:29:58Z
dc.date.copyright2026/02/06
dc.date.issued2026
dc.identifier.otherJSUED2.SUENG-1614.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313545
dc.description.abstractAbstractThis paper proposes a new method [the improved spatiotemporal random effect model (ISTRE)] based on the spatiotemporal Kalman filter model for fusing Global Navigation Satellite System (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDeformation Process Fusion Acquired by GNSS and SBAS-InSAR Based on a Spatiotemporal Kalman Filter
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Surveying Engineering
dc.identifier.doi10.1061/JSUED2.SUENG-1614
dc.journal.fristpage04026003-1
dc.journal.lastpage04026003-15
dc.page15
dc.treeJournal of Surveying Engineering:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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