WE4.R10.4
PHYSICS-BASED GENERATIVE AUGMENTATION PIPELINE FOR FINE-GRAINED SHIP CLASSIFICATION
Bo Liu, Shandong University of Finance and Economics, China; Chenhui Zhu, Jinan Science and Techology Innovation Promotion Center, China; Yinan Xing, Yunfeng Zhang, Shandong University of Finance and Economics, China
Session:
WE4.R10: Synthetic Data for Earth Observation: Bridging the Data Gap to Empower Next-Generation Remote Sensing Applications II Oral
Track:
Community Contributed Themes
Location:
Gunston
Presentation Time:
Wednesday, 12 August, 17:00 - 17:15
Session Co-Chairs:
Zhuo Zheng, Stanford and Silvia Liberata Ullo, University of Sannio
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Session WE4.R10
WE4.R10.1: SIMULATING SPECTRAL–SPATIAL TRADE-OFFS IN BIODIVERSITY MAPPING USING DIRSIG HYPERSPECTRAL IMAGERY
Manisha Das Chaity, Ramesh Bhatta, Jan van Aardt, Rochester Institute of Technology, United States
WE4.R10.2: A Forward-Model-Based SAR Simulation Framework for Algorithm Sensitivity Studies
Anshuman Mehta, Kanishk Bhatt, Prathith Vasudev, Rakshit Bhatt, Galaxeye Space, India
WE4.R10.3: RECONSTRUCTING ACROSS ILLUMINATION: A SYNTHETIC DATASET AND PIPELINE FOR UAV 3D RECONSTRUCTION UNDER VARYING LIGHT CONDITIONS
Xiaoyi Zhang, Wenshuai Yu, Bowen Xu, Jianting Lin, Taibo He, Shenzhen University, China; Zhijun Wang, Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ), China; Qingquan Li, Shenzhen University, China
WE4.R10.4: PHYSICS-BASED GENERATIVE AUGMENTATION PIPELINE FOR FINE-GRAINED SHIP CLASSIFICATION
Bo Liu, Shandong University of Finance and Economics, China; Chenhui Zhu, Jinan Science and Techology Innovation Promotion Center, China; Yinan Xing, Yunfeng Zhang, Shandong University of Finance and Economics, China
WE4.R10.5: Attribute-Driven Cloud Synthesis via A Decoupled Pixel-Latent Diffusion Framework
Lingxuan Zhu, Jiaji Wu, Xidian University, China; Yanze Ma, Southern University of Science and Technology, China; Xiaolin Mi, Fudan University, China; Zeyi Lin, Mingzhou Tan, Xidian University, China
Resources
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