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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH4.O-7.6

3D Point Cloud Generation Using Adversarial Training for Large-Scale Outdoor Scene

Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka, Tokyo Institute of Technology, Japan
Session:
SAR Tomography and 3D Mapping
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Thu, 15 Jul, 15:55-16:10 (UTC)
Thu, 15 Jul, 17:55-18:10 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 23:55-00:10 China Standard Time (UTC +8)
Thu, 15 Jul, 11:55-12:10 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Yuanyuan Wang, German Aerospace Center (DLR) and Simona Verde, CNR
Session Manager:
Ilan Havinga
Presentation
Discussion
Resources
Session TH4.O-7
TH4.O-7.1: DUAL-FREQUENCY SAR TOMOGRAPHY WITH LONG SPARSE NON-UNIFORM BASELINE IN GROUND-BASED LUNAR MAPPING
Ying Li, Yan Wang, Zegang Ding, Tao Zeng, Beijing Institute of Technology, Beijing Institute of Technology Chongqing Innovation Center, China
TH4.O-7.2: NONPARAMETRIC ARRAY MANIFOLD CALIBRATION FOR ICE SHEET SAR TOMOGRAPHY
Theresa Moore, The Johns Hopkins University Applied Physics Laboratory, United States; John Paden, University of Kansas, United States
TH4.O-7.3: 3-D TARGET RECONSTRUCTION USING C-BAND CIRCULAR SAR IMAGERY BASED ON BACKGROUND CONSTRAINTS
Hanqing Zhang, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China; Yun Lin, North China University of Technology, China; Shanshan Feng, Fei Teng, Wen Hong, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China
TH4.O-7.4: AN ANALYSIS OF INSAR DISPLACEMENT VECTOR DECOMPOSITION FALLACIES AND THE STRAP-DOWN SOLUTION
Wietske Brouwer, Ramon Hanssen, Delft University of Technology, Netherlands
TH4.O-7.5: Generation of Large Scale 3-D City Models using InSAR and Optical Data
Yilei Shi, Technical University of Munich, Germany; Richard Bamler, Yuanyuan Wang, Xiao Xiang Zhu, German Aerospace Center (DLR), Germany
TH4.O-7.6: 3D Point Cloud Generation Using Adversarial Training for Large-Scale Outdoor Scene
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka, Tokyo Institute of Technology, Japan

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