Zobrazeno 1 - 10
of 4 720
pro vyhledávání: '"phase unwrapping"'
Autor:
Yin, Wei1,2,3, Chen, Qian1,2 chenqian@njust.edu.cn, Feng, Shijie1,2,3, Tao, Tianyang1,2,3, Huang, Lei4, Trusiak, Maciej5, Asundi, Anand6, Zuo, Chao1,2,3 zuochao@njust.edu.cn
Publikováno v:
Scientific Reports. 12/27/2019, Vol. 9 Issue 1, p1-12. 12p.
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103975- (2024)
Terrain displacement due to the seasonal thaw of the active layer above permafrost can be sensitive to climate change; however, its accurate characterization remains a challenge. This study aimed to improve the measurement of the subsidence or vertic
Externí odkaz:
https://doaj.org/article/93086852a32e4e73823e6b1921fb2a43
Autor:
Zegang DING, Tao SUN, Zhen WANG, Jian ZHAO, Yipeng SHI, Haolong CHEN, Zhizhou CHEN, Yan WANG, Tao ZENG
Publikováno v:
Leida xuebao, Vol 13, Iss 1, Pp 97-115 (2024)
Interferometric Synthetic Aperture Radar (InSAR) enables the efficient retrieval of surface elevation and has extensive applications in terrain mapping. Dual/multi-channel InSAR techniques utilize the differences in the elevation ambiguity of differe
Externí odkaz:
https://doaj.org/article/eb91b097c78c430aa1806521e60ee47e
Autor:
Baohang Wang, Wenhong Li, Chaoying Zhao, Qin Zhang, Guangrong Li, Xiaojie Liu, Bojie Yan, Xiaohe Cai, Jianxia Zhang, Shouzhu Zheng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18926-18938 (2024)
Interferometric fringes containing noise with complex distributions significantly contribute to phase unwrapping (PhU) failures in synthetic aperture radar interferometry (InSAR) technology. The study proposes an L2-Norm Quasi 3-D PhU-assisted multit
Externí odkaz:
https://doaj.org/article/065100d9f1cf431ca521971a4a9dea52
Autor:
Dingyi Zhou, Zhifang Zhao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 954-968 (2024)
Interferometry synthetic aperture radar (InSAR) is essential for monitoring surface deformation and geological hazards. InSAR applications in complex mountainous regions are challenging due to high noise levels and large phase gradient variations, wh
Externí odkaz:
https://doaj.org/article/24a8ea7553dc4d899890dfb9b1f86643
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2690-2704 (2024)
Phase unwrapping (PU) is a critical processing step for obtaining information on land surface deformation from interferometric synthetic aperture radar (InSAR) images. Traditional PU methods take the phase continuity assumption as the precondition. H
Externí odkaz:
https://doaj.org/article/2a2b1c7eed894367be007a17771ef071
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9309-9323 (2024)
Phase unwrapping (PU) is one of the core procedures of interferometric synthetic aperture radar. The traditional PU methods estimate the absolute phase gradient based on the assumption that phase is spatially continuous. However, this assumption is o
Externí odkaz:
https://doaj.org/article/a97b8fad009146f7909b71b922f0f60f
Publikováno v:
IEEE Access, Vol 12, Pp 58778-58788 (2024)
Radio-frequency identification is one of the Internet of Things’ most promising technologies and has been recently used in combination with mobile robots for logistics in business and retail applications. This manuscript deals with the localization
Externí odkaz:
https://doaj.org/article/7e78b74c7a314cdd875744a8587bb864
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 2, Pp 1-10 (2024)
Phase unwrapping is an important research direction in fringe projection profilometry. Improving the accuracy of phase unwrapping from a single wrapped phase map has been a research focus. Existing the deep learning mathods for phase unwrapping from
Externí odkaz:
https://doaj.org/article/cb383b24cac34448a32003ade3717d4e