TH2.R6.5

DECOUPLING FEATURES FOR REMOTE SENSING MISSING MODALITY LEARNING

Yiheng Zhou, Ailong Ma, Junjue Wang, Zihang Chen, Yanfei Zhong, Wuhan University, China

Session:
TH2.R6: Data Fusion V Oral

Track:
AI and Big Data

Location:
Skalkotas Hall

Presentation Time:
Thu, 11 Jul, 12:36 - 12:50

Session Chair:
Bill Psomas, National Technical University of Athens
Presentation
Discussion
Resources
No resources available.
Session TH2.R6
TH2.R6.1: FUS-MAE: A CROSS-ATTENTION-BASED DATA FUSION APPROACH FOR MASKED AUTOENCODERS IN REMOTE SENSING
Hugo Chan-To-Hing, Bharadwaj Veeravalli, National University of Singapore, Singapore
TH2.R6.2: OBJECT BASED ANALYTICS FOR FINDING HOMOGENEOUS COLLECTIONS IN AERIAL IMAGERY DATASETS
Bishwajit Sharma, Alind Sharma, Anima Mishra Sharma, Shyni Thomas, Arshad Jamal, Centre for Artificial Intelligence and Robotics, India
TH2.R6.3: MT-Geo: A Multi-Scale Feature Extraction Network for Cross-view Geo-localization between street-view and remote sensing imagery
Wenhui Zhang, Jun Li, Hao Chen, Jiangjiang Wu, National University of Defense Technology, China
TH2.R6.4: KOMBINATORNET: A MULTISENSOR DEEP LEARNING MODEL
Milena Napiorkowska, Hamid Omidvar, Johannes Hansen, Pedro Rodriguez-Veiga, Victoria Foing, Abie Marshall, Freddie Ruxton, Ezra Webb, Sylvera Ltd., United Kingdom
TH2.R6.5: DECOUPLING FEATURES FOR REMOTE SENSING MISSING MODALITY LEARNING
Yiheng Zhou, Ailong Ma, Junjue Wang, Zihang Chen, Yanfei Zhong, Wuhan University, China
TH2.R6.6: AN OBJECT-LEVEL MULTI-SOURCE TRANSFER LEARNING METHOD INTEGRATING OPTICAL AND SAR FEATURES: A CASE STUDY OF GAOFEN, ZIYUAN, AND SENTINEL-1 SATELLITES
Xingli Qin, Bingfang Wu, Hongwei Zeng, Miao Zhang, Fuyou Tian, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Yupei Cao, Yazhou Liu, Shandong Land Group Digital Technology CO., LTD, China
TH2.R6.7: SATELLITE VIDEO SUPER-RESOLUTION VIA UNIDIRECTIONAL RECURRENT NETWORK AND VARIOUS DEGRADATION MODELING
Xiaoyuan Wei, Haopeng Zhang, Zhiguo Jiang, Beihang University, China
Resources
No resources available.