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 | 121 | 2016 |
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 | 87 | 2017 |
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 | 52 | 2019 |
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 | 43 | 2015 |
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 | 33 | 2016 |
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 | 32 | 2014 |
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 | 30 | 2016 |
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 | 28 | 2021 |
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 | 26 | 2013 |
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 | 22 | 2020 |
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 | 22 | 2020 |
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 | 21 | 2019 |
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 | 21 | 2018 |
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 | 19 | 2021 |
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 | 18 | 2020 |
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 | 18 | 2019 |
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 | 14 | 2021 |
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 | 11 | 2020 |
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 | 10 | 2021 |
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 | 9 | 2023 |