MOPB.PA.129

C-LSTM FOR MT-INSAR GROUND DEFORMATION PREDICTION

Yi Wen, China University of Mining and Technology(Beijing), China; Xiangxing Wan, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China; Debao Yuan, China University of Mining and Technology(Beijing), China; Ling Zhang, Daqing Ge, Li Zhang, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China
Session:
MOPB.PA: DInSAR Methods II Poster
Track:
SAR Imaging and Processing Techniques
Location:
Poster Area 1: Muses/Kokali Foyer
Presentation Time:
Mon, 8 Jul, 15:20 - 16:20
Session Chair:
Edìnson Andrés Solarte Casanova, CNR-IREA
Presentation
Discussion
Resources
No resources available.
Session MOPB.PA
MOPB.PA.128: SAR Target Recognition Based on Convolutional Feature Aggregation and Decision Combination
Linqing Huang, Shanghai Jiao Tong University, China; Jinfu Fan, Qingdao University, China; Kai Xu, Lanshan Lab, China
MOPB.PA.129: C-LSTM FOR MT-INSAR GROUND DEFORMATION PREDICTION
Yi Wen, China University of Mining and Technology(Beijing), China; Xiangxing Wan, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China; Debao Yuan, China University of Mining and Technology(Beijing), China; Ling Zhang, Daqing Ge, Li Zhang, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China
MOPB.PA.130: ON THE TREATMENT OF THE REFERENCE IMAGE FOR INSAR PARAMETER ESTIMATION FOR POINT SCATTERERS
Wietske Brouwer, Ramon Hanssen, Delft University of Technology, Netherlands
Resources
No resources available.