WEP1.PD.4
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
Session:
WEP1.PD: Generative AI and Data-Efficient Learning for Remote Sensing Poster
Track:
AI and Big Data
Location:
Plaza Ballroom: Poster Area
Presentation Time:
Wednesday, 6 August, 09:15 - 10:30
Session Chair:
Mathis Jürgen Adler, Technische Universität Berlin
Presentation
Discussion
Resources
No resources available.
Session WEP1.PD
WEP1.PD.1: ONE POLARIMETRIC MECHANISM-GUIDE NETWORK FOR POLSAR FALSE SEA SCENE GENERATION
Tianyi Zhang, Shanghai Jiao Tong University, China; Jiyuan Liu, National University of Defense Technology, China; 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.2: 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.3: MASKED SPATIAL-SPECTRAL CONSISTENCY FOR DOMAIN ADAPTATION WITH FOUNDATION MODEL
Qin Wu, Hangzhou Institute of Technology, Xidian University, China; Zhixi Feng, Shuyuan Yang, School of Artificial Intelligence, Xidian University, China; Jian Zhao, Guangzhou Institute of Technology, Xidian University, China; Licheng Jiao, School of Artificial Intelligence, Xidian University, China
WEP1.PD.4: 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.5: 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.6: 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.7: 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.8: 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.9: OT-PFCNET: A GENERATIVE PRE-ALIGNMENT FRAMEWORK FOR CROSS-DOMAIN REMOTE SENSING RETRIEVAL
Jirui Huang, Dongjie Zhao, Yaxiong Chen, Shengwu Xiong, Wuhan University of Technology, China
WEP1.PD.10: CLOUD REMOVAL BY INTEGRATING DEEP LEARNING AND WAVELET TRANSFORM
Yuyu You, University of Electronic Science and Technology of China, China; Guofang Wang, Yunnan Power Grid Company Ltd, China; Qiang Liu, University of Electronic Science and Technology of China, China; Fu Wang, China Meteorological Administration, China; Zezhong Zheng, Yumo Liu, Zixuan Teng, University of Electronic Science and Technology of China, China
WEP1.PD.11: REMOTE SENSING IMAGE CHANGE DETECTION METHOD BASED ON SEGMENT ANYTHING MODEL
Haitao Li, Zongyu Yang, Haiyan Gu, Yi Yang, Hengtong Shen, Haozhu Kong, Honglin Li, Yang Wang, Chinese Academy of Surveying and Mapping, China
WEP1.PD.12: BLACK BOX ADVERSARIAL SAMPLE GENERATION OF REMOTE SENSING IMAGE DESCRIPTION
Guanlong Liu, Yangyang Li, Shuangkang Fang, Ronghua Shang, Licheng Jiao, Xidian University School of Artificial Intelligence, China
Resources
No resources available.