MO4.R15.4
EFFICIENT ICEBERG DETECTION IN SENTINEL-1 IMAGERY USING THE THOR FOUNDATION MODEL
Theodor Forgaard, Jarle H. Reksten, Norwegian Computing Center; David Arthurs, PolarView ApS; Arnt B. Salberg, Norwegian Computing Center
Session:
MO4.R15: Methods for SAR & High-Resolution Image Understanding Oral
Track:
AI and Big Data
Location:
Jefferson West
Presentation Time:
Monday, 10 August, 17:00 - 17:15
Session Chair:
Hongruixuan Chen, RIKEN Center for Advanced Intelligence Project (AIP)
Presentation
Discussion
Resources
No resources available.
Session MO4.R15
MO4.R15.1: Research on SAR Image Generation Method Basedon Deep Learning: Models, Challenges, andProspects
Shuo Yu, Dan Gao, Xiaofang Wu, Chunheng Liu, Academy of Military
MO4.R15.2: JOINT PIXEL-LEVEL AND LATENT-LEVEL MASKED IMAGE MODELING FRAMEWORK FOR POLSAR IMAGE CLASSIFICATION
Lifan Wang, Zuzheng Kuang, Xi'an Jiaotong University; Shuxin Liu, Southwestern Institute of Physics; Lijun He, Haixia Bi, Fan Li, Xi'an Jiaotong University
MO4.R15.3: Geometric Consistency Protocol for Foundation Model Features in Multi-View Satellite Imagery
Qiyan Luo, Jie Yang, Yingdong Pi, Zhongli Fan, Lekang Wen, Mi Wang, Wuhan University
MO4.R15.4: EFFICIENT ICEBERG DETECTION IN SENTINEL-1 IMAGERY USING THE THOR FOUNDATION MODEL
Theodor Forgaard, Jarle H. Reksten, Norwegian Computing Center; David Arthurs, PolarView ApS; Arnt B. Salberg, Norwegian Computing Center
Resources
No resources available.