FR3.R13.2
SACA: SPATIAL-AWARE CONTRASTIVE ALIGNMENT FOR SAR-TO-OPTICAL REPRESENTATION LEARNING
Aaron Perez, Saurabh Prasad, University of Houston, United States
Session:
FR3.R13: Advances in Multimodal Remote Sensing Images Processing and Their Applications Multiple Areas Oral
Track:
Community Contributed Themes
Location:
Georgetown West
Presentation Time:
Friday, 14 August, 14:00 - 14:15
Session Co-Chairs:
Aaron Perez, University of Houston and Shuyuan Fan, Harbin Engineering University
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Session FR3.R13
FR3.R13.1: CROSS-DOMAIN FEW-SHOT LEARNING BASED ON MULTI-SCALE FEATURE EXTRACTION AND CLUSTERING MODULE FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Shengjie Wang, Shou Feng, Yu Chen, Meng Nan, Nan Su, Chunhui Zhao, Harbin Engineering University, China
FR3.R13.2: SACA: SPATIAL-AWARE CONTRASTIVE ALIGNMENT FOR SAR-TO-OPTICAL REPRESENTATION LEARNING
Aaron Perez, Saurabh Prasad, University of Houston, United States
FR3.R13.3: A FRAMEWORK FOR OPTICAL AND SAR CHANGE DETECTION USING REMOTE-SENSING FOUNDATION MODEL AND DIFFUSION-BASED HYBRID QUANTUM NEURAL NETWORK
Shubhrangshu Ghosh, Syed Mujibul Islam, Shailesh Deshpande, Arpan Pal, Tata Consultancy Services Pvt. Ltd., India
FR3.R13.4: Multi-modal Data Fusion using the Geolocated Information Processing System to produce a Global 3D Cloud Product
Jeremy Solbrig, Gwyn Uttmark, Evan Rose, Kumar Gampa, Zhixing Ruan, Jim Fluke, Coleman McClelland, John Haynes, Yoo-Jeong Noh, Steven Miller, Colorado State University, United States; Melinda Surratt, Christopher Camacho, Christopher Selman, Andrew Thorpe, Lance Wilson, U. S. Naval Research Laboratory, United States
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