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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH2.MM-7.9

EFFICIENT SAR TOMOGRAPHIC INVERSION VIA SPARSE BAYESIAN LEARNING

Yuanyuan Wang, Kun Qian, Xiaoxiang Zhu, German Aerospace Center (DLR), Germany
Session:
Tomography and 3D Mapping
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Thu, 15 Jul, 11:40-11:45 (UTC)
Thu, 15 Jul, 13:40-13:45 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 19:40-19:45 China Standard Time (UTC +8)
Thu, 15 Jul, 07:40-07:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Hossein Aghababaei, University of Twente and Karl Insfran, Tohoku University
Session Manager:
Ilan Havinga
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Session TH2.MM-7
TH2.MM-7.1: PANORAMIC 3D RECONSTRUCTION METHOD FOR SAR TOMOGRAPHY BASED ON MULTI-AZIMUTH OBSERVATIONS
Dong Han, Liangjiang Zhou, Zekun Jiao, Bingnan Wang, Yachao Wang, Yirong Wu, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China
TH2.MM-7.2: Stereo matching algorithm for high-resolution remote sensing images based on sparse coding and dictionary learning
Dongyang Liu, Junping Zhang, Youliang Guo, Harbin Institute of Technology, China
TH2.MM-7.3: A POSITION-FIRST 3D INVERSION METHOD FOR TOMOSAR
Ruizhe Shi, Zekun Jiao, Xiaolan Qiu, Chibiao Ding, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China
TH2.MM-7.4: Super-resolving SAR Tomography using Deep Learning
Kun Qian, Technical University of Munich, Germany; Yuanyuan Wang, German Aerospace Center (DLR), Germany; Yilei Shi, Technical University of Munich, Germany; XIao Xiang Zhu, German Aerospace Center (DLR), Germany
TH2.MM-7.5: ACCURATE 3D MEASUREMENT FROM TWO SAR IMAGES WITHOUT PRIOR KNOWLEDGE OF SCENE
Karl Insfran, Koichi Ito, Takafumi Aoki, Tohoku University, Japan
TH2.MM-7.6: A POINT CLOUDS FRAMEWORK FOR 3-D RECONSTRUCTION OF SAR IMAGES BASED ON 3-D PARAMETRIC ELECTROMAGNETIC PART MODEL
Zhi-Long Yang, Ruo-Yi Zhou, Feng Wang, Feng Xu, Fudan University, China
TH2.MM-7.7: P-BAND SAR TOMOGRAPHY FOR FOREST TYPE CLASSIFICATION
Dinh Ho Tong Minh, INRAE, France; Yen-Nhi Ngo, Independent researcher, France; Thu Trang Lê, Hanoi University of Mining and Geology, Viet Nam
TH2.MM-7.8: GROUND 3D OBJECT RECONSTRUCTION BASED ON MULTI-VIEW 3D OCCUPANCY NETWORK USING SATELLITE REMOTE SENSING IMAGE
Hao Chen, Wen Chen, Tong Gao, Harbin Institute of Technology, China
TH2.MM-7.9: EFFICIENT SAR TOMOGRAPHIC INVERSION VIA SPARSE BAYESIAN LEARNING
Yuanyuan Wang, Kun Qian, Xiaoxiang Zhu, German Aerospace Center (DLR), Germany

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