TU2.R3.5

A MULTIRESOLUTION FUSION FRAMEWORK BASED ON PROBABILISTIC GRAPHICAL MODELING FOR BURNT ZONES MAPPING FROM SATELLITE AND UAV IMAGERY

Martina Pastorino, University of Genoa, Inria, Université Côte d'Azur, Italy; Gabriele Moser, University of Genoa, Italy; Fabien Guerra, INRAE, RECOVER, Aix-Marseille University, France; Sebastiano B. Serpico, University of Genoa, Italy; Josiane Zerubia, Inria, Université Côte d'Azur, France
Session:
TU2.R3: Data Fusion IV Oral
Track:
Data Analysis
Location:
Marinos
Presentation Time:
Tue, 9 Jul, 12:36 - 12:50
Session Chair:
Martina Pastorino, University of Genoa, Inria, Université Côte d'Azur
Presentation
Discussion
Resources
No resources available.
Session TU2.R3
TU2.R3.1: A FUSION FRAMEWORK FOR INFRARED AND VISIBLE IMAGES BASED ON CNN AND MST
Yali Zhang, Wei Feng, Yinghui Quan, Fan Bu, Zhiwei Xie, Mengdao Xing, Xidian University, China
TU2.R3.2: LION: SPATIOTEMPORAL DATA FUSION MODEL FOR NIGHTTIME LIGHT
Chen Xu, Xiaoping Du, Lin Yan, Xiangtao Fan, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TU2.R3.3: AN ATTENTION-BASED FUSION FOR HANDCRAFTED AND DEEP FEATURE TO IMPROVE OPTICAL AND SAR IMAGE MATCHING
Zhiqiang Han, Jinkun Dai, Liang Zhou, Yuanxin Ye, Southwest Jiaotong University, China
TU2.R3.4: A FRAMEWORK FOR ESTIMATING ALL-WEATHER LAND SURFACE TEMPERATURE AND SEA SURFACE TEMPERATURE
Wenbin Tang, Ji Zhou, Ziwei Wang, Jin Ma, School of Resources and Environment, University of Electronic Science and Technology of China, China
TU2.R3.5: A MULTIRESOLUTION FUSION FRAMEWORK BASED ON PROBABILISTIC GRAPHICAL MODELING FOR BURNT ZONES MAPPING FROM SATELLITE AND UAV IMAGERY
Martina Pastorino, University of Genoa, Inria, Université Côte d'Azur, Italy; Gabriele Moser, University of Genoa, Italy; Fabien Guerra, INRAE, RECOVER, Aix-Marseille University, France; Sebastiano B. Serpico, University of Genoa, Italy; Josiane Zerubia, Inria, Université Côte d'Azur, France
TU2.R3.6: Data fusion with Transformers for Sentinel-2 and Sentinel-3 missions using non-EO and EO training data
Pierre-Laurent Cristille, Emmanuel Bernhard, Jeronimo Bernard-Salas, Nick Cox, ACRI ST, France
TU2.R3.7: REMOTE SENSING DOMAIN ADAPTIVE ALIGNMENT VIA STUDENT-TEACHER LEARNING
Qiuhang Liu, Weilong Yan, National University of Singapore, Singapore; Bo Wang, CtrsVision, United States; Bharadwaj Veeravalli, Robby Tantowi Tan, National University of Singapore, Singapore
Resources
No resources available.