TU2.R10.1: MULTIMODAL REMOTE SENSING IMAGE MATCHING USING REPEATABLE FEATURE DETECTOR AND ROTATION-INVARIANT FEATURE DESCRIPTOR
Jiwei Deng, China Railway Design Corporation, China; Bai Zhu, Chao Yang, Southwest Jiaotong University, China; Hai Zhao, China Railway Design Corporation, China; Yuanxin Ye, Southwest Jiaotong University, China
TU2.R10.2: A MULTIMODAL SUPERVISED MACHINE LEARNING APPROACH FOR SATELLITE-BASED WILDFIRE IDENTIFICATION IN EUROPE
Angelica Urbanelli, Luca Barco, LINKS Foundation, Italy; Edoardo Arnaudo, Politecnico di Torino, Italy; Claudio Rossi, LINKS Foundation, Italy
TU2.R10.3: FEATURE ADVERSARIAL NETWORK FOR MULTIMODAL TEMPLATE MATCHING
Xiushe Zhang, The 20th Research Institute of China Electronics Technology Group Corporation, China; Xinlin Wang, Xidian University, China; Chunlei Han, The 20th Research Institute of China Electronics Technology Group Corporation, China; Jinming Mu, Shuiping Gou, Xidian University, China
TU2.R10.4: MODELING HIGH-ORDER CORRELATIONS VIA HYPERGRAPH NEURAL NETWORK FOR CROSS-MODAL REMOTE SENSING IMAGE RETRIEVAL
Fanglong Yao, Xian Sun, Nayu Liu, Changyuan Tian, Liangyu Xu, Leiyi Hu, Chibiao Ding, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China, China
TU2.R10.5: SCENE-LEVEL MATCHING BETWEEN REMOTE SENSING OPTICAL AND SAR IMAGES
Haiyang Zhong, Yiming Yan, Harbin Engineering University, China; Guihua Gu, Shanghai Institute of Satellite Engineering, China; Nan Su, Hongzhe Zhang, Harbin Engineering University, China
