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Bing Xu
Bing Xu
在 csu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Coastal subsidence monitoring associated with land reclamation using the point target based SBAS-InSAR method: A case study of Shenzhen, China
B Xu, G Feng, Z Li, Q Wang, C Wang, R Xie
Remote Sensing 8 (8), 652, 2016
1212016
Deriving spatio-temporal development of ground subsidence due to subway construction and operation in delta regions with PS-InSAR data: A case study in Guangzhou, China
H Wang, G Feng, B Xu, Y Yu, Z Li, Y Du, J Zhu
Remote Sensing 9 (10), 1004, 2017
872017
Assessing the use of GACOS products for SBAS-INSAR deformation monitoring: A case in Southern California
Q Wang, W Yu, B Xu, G Wei
Sensors 19 (18), 3894, 2019
522019
Source parameters of the 2014 Mw 6.1 South Napa earthquake estimated from the Sentinel 1A, COSMO-SkyMed and GPS data
F Guangcai, L Zhiwei, S Xinjian, X Bing, D Yanan
Tectonophysics 655, 139-146, 2015
432015
Coseismic deformation of the 2015 Mw 6.4 Pishan, China, earthquake estimated from Sentinel‐1A and ALOS2 data
G Feng, Z Li, B Xu, X Shan, L Zhang, J Zhu
Seismological Research Letters 87 (4), 800-806, 2016
332016
The improvement for Baran phase filter derived from unbiased InSAR coherence
M Jiang, X Ding, Z Li, X Tian, W Zhu, C Wang, B Xu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
322014
Continent-wide 2-D co-seismic deformation of the 2015 Mw 8.3 Illapel, Chile earthquake derived from Sentinel-1A data: Correction of azimuth co-registration error
B Xu, Z Li, G Feng, Z Zhang, Q Wang, J Hu, X Chen
Remote Sensing 8 (5), 376, 2016
302016
Prediction of mining-induced kinematic 3-D displacements from InSAR using a Weibull model and a Kalman filter
Z Yang, B Xu, Z Li, L Wu, J Zhu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021
282021
Improved Goldstein filter for InSAR noise reduction based on local SNR
Q Sun, Z Li, J Zhu, X Ding, J Hu, B Xu
Journal of Central South University 20 (7), 1896-1903, 2013
262013
Kinematic coregistration of sentinel-1 TOPSAR images based on sequential least squares adjustment
B Xu, Z Li, Y Zhu, J Shi, G Feng
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
222020
SAR interferometric baseline refinement based on flat-earth phase without a ground control point
B Xu, Z Li, Y Zhu, J Shi, G Feng
Remote Sensing 12 (2), 233, 2020
222020
InSAR monitoring and analysis of ground deformation due to fluid or gas injection in Fengcheng oil field, Xinjiang, China
J Shi, H Yang, J Peng, L Wu, B Xu, Y Liu, B Zhao
Journal of the Indian Society of Remote Sensing 47, 455-466, 2019
212019
Modeling orbital error in InSAR interferogram using frequency and spatial domain based methods
X Tian, R Malhotra, B Xu, H Qi, Y Ma
Remote Sensing 10 (4), 508, 2018
212018
Block PS-InSAR ground deformation estimation for large-scale areas based on network adjustment
J Hou, B Xu, Z Li, Y Zhu, G Feng
Journal of Geodesy 95, 1-15, 2021
192021
A new weighting method by considering the physical characteristics of atmospheric turbulence and decorrelation noise in SBAS-InSAR
M Duan, B Xu, Z Li, W Wu, Y Cao, J Liu, G Wang, J Hou
Remote Sensing 12 (16), 2557, 2020
182020
Monitoring the degradation of island permafrost using time-series InSAR technique: a case study of Heihe, China
S Wang, B Xu, W Shan, J Shi, Z Li, G Feng
Sensors 19 (6), 1364, 2019
182019
A phase optimization method for DS-InSAR based on SKP decomposition from quad-polarized data
G Wang, B Xu, Z Li, H Fu, H Gao, J Wan, C Wang
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
142021
Adaptively selecting interferograms for SBAS-InSAR based on graph theory and turbulence atmosphere
M Duan, B Xu, ZW Li, WH Wu, JC Wei, YM Cao, JH Liu
IEEE Access 8, 112898-112909, 2020
112020
Derivation of high-quality three-dimensional surface deformation velocities through multi-source point cloud fusion: Application to Kīlauea volcano
W Wu, J Hu, J Liu, Z Li, J Zhu, B Xu, W Zheng, X Zhang
International Journal of Applied Earth Observation and Geoinformation 95, 102270, 2021
102021
Landslide susceptibility zoning in Yunnan Province based on SBAS-InSAR technology and a random forest model
M Liu, B Xu, Z Li, W Mao, Y Zhu, J Hou, W Liu
Remote Sensing 15 (11), 2864, 2023
92023
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