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.
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, 14:15 - 14:30
Session Co-Chairs:
Shengjie Wang, Harbin Engineering University and Aaron Perez, University of Houston
Presentation
Discussion
Resources
No resources available.
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
FR3.R13.2: SACA: SPATIAL-AWARE CONTRASTIVE ALIGNMENT FOR SAR-TO-OPTICAL REPRESENTATION LEARNING
Aaron Perez, Saurabh Prasad, University of Houston
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.
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; Melinda Surratt, Christopher Camacho, Christopher Selman, Andrew Thorpe, Lance Wilson, U. S. Naval Research Laboratory
Resources
No resources available.