TU3.M2.4
A Hybrid Model using Geospatial Dataset for Crop Yield Prediction in Western Australia
Muhammad Ibrahim, Balwinder Singh, Rodrigo Pires, Department of Primary Industry and Regional Development, Australia; Julia Easton, Curtin University, Australia; Hasnein Tareque, Department of Primary Industry and Regional Development, Australia
Session:
TU3.M2: Image Analysis and Data Fusion: The AI Era I Oral
Track:
Community-Contributed Sessions
Location:
Room M2
Presentation Time:
Tuesday, 5 August, 14:00 - 14:15
Session Co-Chairs:
Claudio Persello, University of Twente and Ujjwal Verma, Manipal Institute of Technology
Presentation
Discussion
Resources
No resources available.
Session TU3.M2
TU3.M2.1: TECHNICAL PROGRESS TOWARDS SPACENET-9 - CROSS-MODAL SATELLITE IMAGERY REGISTRATION FOR NATURAL DISASTER RESPONSES
Ronny Hänsch, German Aerospace Center, Germany; Jacob Arndt, Abhishek Potnis, Philipe Dias, Oak Ridge National Laboratory, United States; Fabio Pacifici, Maxar Intelligence, United States; Todd M. Bacastow, IEEE Geoscience and Remote Sensing Society, United States
TU3.M2.2: FedLD: Federated Learning for Privacy-Preserving Collaborative Landslide Detection
Xiaochuan Tang, Xiaochuang Yan, Chengdu University of Technology, China; Xiaojun Yuan, University of Electronic Science and Technology of China, China; Xin Liu, Zhong Lu, Yu Wang, Hao Zhong, Dongfen Li, Chengdu University of Technology, China; Filippo Catani, University of Padova, Italy
TU3.M2.3: SenGLEAN: An End-to-End Deep Learning Approach for Super-Resolution of Sentinel-2 Multiresolution Multispectral Images
Ayush Gupta, Indian Institute of Technology Kanpur, India; Rakesh Mishra, Yun Zhang, University of New Brunswick, Canada
TU3.M2.4: A Hybrid Model using Geospatial Dataset for Crop Yield Prediction in Western Australia
Muhammad Ibrahim, Balwinder Singh, Rodrigo Pires, Department of Primary Industry and Regional Development, Australia; Julia Easton, Curtin University, Australia; Hasnein Tareque, Department of Primary Industry and Regional Development, Australia
TU3.M2.5: CSA MAMBA: A CHANNEL-SPATIAL ATTENTION MAMBA NETWORK FOR IMAGE CAPTIONING
Kaili Zhou, Jun Du, Xiaoyi Wang, Peng Wang, Nanjing University of Aeronautics and Astronautics, China; Bo Huang, University of Hong Kong, China
Resources
No resources available.