International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH2.MM-7: Tomography and 3D Mapping
Thu, 15 Jul, 11:00 - 12:10 (UTC)
Thu, 15 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Thu, 15 Jul, 07:00 - 08:10 Eastern Daylight Time (UTC -4)
Session Co-Chairs: Hossein Aghababaei, University of Twente and Karl Insfran, Tohoku University
Session Manager: Ilan Havinga
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

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-7.3: 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-7.7: P-BAND SAR TOMOGRAPHY FOR FOREST TYPE CLASSIFICATION

Dinh Ho Tong Minh, INRAE, France; Yen-Nhi Ngo, Independent researcher, France; Thu Trang LĂȘ, Hanoi University of Mining and Geology, Viet Nam

TH2.MM-7.9: EFFICIENT SAR TOMOGRAPHIC INVERSION VIA SPARSE BAYESIAN LEARNING

Yuanyuan Wang, Kun Qian, Xiaoxiang Zhu, German Aerospace Center (DLR), Germany