WEP1.PD.12
OT-PFCNet: A Generative Pre-alignment Framework for Cross-domain Remote Sensing Retrieval
Jirui Huang, Dongjie Zhao, Yaxiong Chen, Wuhan University of Technology, China; Shengwu Xiong, Wuhan College, China
Session:
WEP1.PD: Generative AI and Data-Efficient Learning for Remote Sensing Poster
Track:
AI and Big Data
Location:
Poster Area
Presentation Time:
Wednesday, 6 August, 09:15 - 10:30
Presentation
Discussion
Resources
No resources available.
Session WEP1.PD
WEP1.PD.1: Anisotropy Deep Metric Learning for Few-shot Remote Sensing Image Scene Classification
Bing Wang, Information Research Institute, Chinese Academy of Sciences, China
WEP1.PD.2: ONE POLARIMETRIC MECHANISM-GUIDE NETWORK FOR POLSAR FALSE SEA SCENE GENERATION
Tianyi Zhang, Jiyuan Liu, Feiming Wei, Jin Ma, Shanghai Jiao Tong University, China; Zhen Yang, Jiangxi Science and Technology Normal University, China; Tao Zhang, Shanghai Jiao Tong University, China
WEP1.PD.3: Handcrafted and Deep Feature Aggregation Network for Identification of Real and Fake Satellite Image with Limited Data
Linqing Huang, Bingan Chen, Shanghai Jiao Tong University, China; Yumei Hu, Aviation Industry Corporation of China, China; Jing Zhu, Ze Zhang, Shilin Wang, Shanghai Jiao Tong University, China; Jinfu Fan, Qingdao University, China
WEP1.PD.4: A SELF-SUPERVISED LEARNING FRAMEWORK TO RECONSTRUCT HIGH-QUALITY NDVI TIME SERIES
Ang Li, Huanfeng Shen, Menghui Jiang, Zhonghang Qiu, Wuhan University, China
WEP1.PD.5: MASKED SPATIAL-SPECTRAL CONSISTENCY FOR DOMAIN ADAPTATION WITH FOUNDATION MODEL
Qin Wu, Zhixi Feng, Shuyuan Yang, Jian Zhao, Licheng Jiao, School of Artificial Intelligence, Xidian University, China
WEP1.PD.6: Semi-Supervised Seabed Sediment Classification Based on Multi-level Contrastive Learning and Uncertainty Measurement
Haoyi Wang, Siyang Wan, Weitao Chen, Xianju Li, China University of Geosciences, Wuhan, China; Xuwen Qin, China Aero Geophysical Survey and Remote Sensing Centre for Natural Resources, China Geological Survey, China
WEP1.PD.7: RS-SCALEGAN: A HIERARCHICAL MULTI-SCALE GAN NETWORK FOR DATA AUGMENTATION IN REMOTE SENSING
Yan Lu, Christopher Newport University, United States; Jiang Li, Old Dominion University, United States
WEP1.PD.8: LEVERAGING VARIATIONAL AUTOENCODER FOR FEW-SHOT TRAINING IN CLOUD TYPING SATELLITE IMAGERY
Kwo-Sen Kuo, Bayesics LLC, United States; Max Nguyen, University of Nebraska, United States; Michael Bauer, Bayesics LLC, United States; Dai Hai Ton-that, Bayesics, LLC, United States; Jianxin Sun, Yu Pan, Hongfeng Yu, University of Nebraska, United States
WEP1.PD.9: OpenWildlife: A Novel Open-Vocabulary Framework for Multi-Species Wildlife Detection in Diverse Aerial Imagery
Xinwei Chen, South China University of Technology, China; Muhammed Patel, University of Waterloo, Canada; Linlin Xu, University of Calgary, Canada
WEP1.PD.10: Deep learning for identification of 3D plant growth forms in Fractional Vegetation Cover
Laura Sotomayor, Arko Lucieer, Darren Turner, University of Tasmania, Australia; Megan Lewis, University of Adelaide, Australia; Shaun Levick, CSIRO, Australia; Teja Kattenborn, University of Freiburg, Germany
WEP1.PD.11: Data-Driven Deep Learning Approach Using Unmanned Aerial Vehicle (UAV) Data to Early Detect Disease in Tomato Plants.
Mavis Nyamesah, Leila Hashemi-Beni, North Carolina Agricultural and Technical State University, United States
WEP1.PD.12: OT-PFCNet: A Generative Pre-alignment Framework for Cross-domain Remote Sensing Retrieval
Jirui Huang, Dongjie Zhao, Yaxiong Chen, Wuhan University of Technology, China; Shengwu Xiong, Wuhan College, China
Resources
No resources available.