FR3.M3.2
USING DEEP LEARNING TO ESTIMATE VEGETATION GROWTH FROM REMOTE SENSING DATA
Hiyam Debary, Levente Klein, IBM Research, United Arab Emirates
Session:
FR3.M3: Advanced Techniques in Remote Sensing Data Interpretation and Predictive Modeling II Oral
Track:
AI and Big Data
Location:
Mezzanine: Room M3
Presentation Time:
Friday, 8 August, 13:30 - 13:45
Session Co-Chairs:
Fadi Kizel, Technion – Israel Institute of Technology and Hiyam Deabary, IBM
Session FR3.M3
FR3.M3.1: Real-time deforestation monitoring for supply chain compliance
Levente Klein, Ildar Khabibrakhmanov, Sagar Soni, Thomas Brunschwiler, Michal Muszynski, Blair Edwards, Charles Wachira, Harini Srinivasan, IBM, United States
FR3.M3.2: USING DEEP LEARNING TO ESTIMATE VEGETATION GROWTH FROM REMOTE SENSING DATA
Hiyam Debary, Levente Klein, IBM Research, United Arab Emirates
FR3.M3.3: CECMR: CALIBRATED EVIDENTIAL LEARNING FOR CROSS MODAL REMOTE SENSING IMAGE-TEXT RETRIEVAL
Zhuoyue Wang, Xueqian Wang, Gang Li, Tsinghua University, China
FR3.M3.4: Cross-modal Adjacent Knowledge Semantic Enhancement Network for Remote Sensing Image Captioning
Lanxiao Wang, Ziyi Wang, Heqian Qiu, Minjian Zhang, Hongliang Li, University of Electronic Science and Technology of China, China
FR3.M3.5: BOOSTING CHANGE CAPTIONING IN REMOTE SENSING BASED ON DATA AUGMENTATION AND DIFFUSION MODELS
Xiaofei Yu, Jie Ma, Hanlin Wu, Liqiang Qiao, Beijing Foreign Studies University, China
Resources