International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH1.O-14: Multi-resolution and Multimodal Remote Sensing Image Processing and Interpretation
Thu, 15 Jul, 08:30 - 10:00 (UTC)
Thu, 15 Jul, 10:30 - 12:00 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 16:30 - 18:00 China Standard Time (UTC +8)
Thu, 15 Jul, 04:30 - 06:00 Eastern Standard Time (UTC -4)
Session Co-Chairs: Gemine Vivone, National Research Council - Institute of Methodologies for Environmental Analysis (CNR - IMAA) and Wenzhi Liao, Flemish Institute for Technological Research (VITO), Belgium
Session Manager: Eduard Khachatrian
Track: Invited Sessions

TH1.O-14.1: An Overview of Multimodal Remote Sensing Data Fusion: From Image to Feature, From Shallow to Deep

Danfeng Hong, German Aerospace Center(DLR), Germany; Jocelyn Chanussot, Univ. Grenoble Alpes, INRIA, CNRS, Grenoble INP, LJK, France; Xiao Xiang Zhu, German Aerospace Center(DLR); Technical University of Munich (TUM), Germany

TH1.O-14.3: A Fast and Robust Matching System for Multimodal Remote Sensing Image Registration

Yuanxin Ye, Bai Zhu, Liang Zhou, Bruzzone Lorenzo, Southwest Jiaotong University, China

TH1.O-14.4: A DEEP LEARNING-BASED HETEROGENEOUS SPATIO-TEMPORAL-SPECTRAL FUSION: SAR AND OPTICAL IMAGES

Menghui Jiang, School of Resource and Environmental Sciences, Wuhan University, Wuhan, China, China; Jie Li, School of Geodesy and Geomatics, Wuhan University, Wuhan, China, China; Huanfeng Shen, School of Resource and Environmental Sciences, Wuhan University, Wuhan, China, China

TH1.O-14.5: Hyperspectral and multispectral image fusion: from model-driven to data-driven

yongqiang zhao, haofang yan, northwestern polytechnical university, China; sha liu, Shanghai Institute of Aerospace Technology, China

TH1.O-14.6: A FULL-RESOLUTION TRAINING FRAMEWORK FOR SENTINEL-2 IMAGE FUSION

Matteo Ciotola, Mario Ragosta, Giovanni Poggi, Giuseppe Scarpa, University Federico II, Italy