MOP.P8.3

LOW LATENCY FOREST LOGGING MONITORING USING DIFFER-MODALITY LEARNING APPROACH

Pradeep Kambhampati, Prakhar Misra, Rishabh Chavhan, Abhinandan Arya, Synspective, Japan
Session:
MOP.P8: Different Applications with Remote Sensing Data Poster
Track:
Data Analysis
Location:
Poster Area 8
Presentation Time:
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Abhishek Potnis, Oak Ridge National Laboratory
Session Managers:
Al Adil Al Hinai and Ivan Arias and Shubham Awasthi and Ayoti Banerjee
Presentation
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Discussion
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Resources
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Session MOP.P8
MOP.P8.1: A TEMPERATURE-BASED VALIDATION METHOD FOR MEDIUM AND HIGH SPATIAL RESOLUTION LST PRODUCTS
Ruibo Li, Hua Li, Zunjian Bian, Biao Cao, Yongming Du, Qinhuo Liu, Aerospace Information Research Institute, Chinese Academy of Sciences, China
MOP.P8.2: A SUBDIVISION-FUSION ALGORITHM FOR RADAR RANGE SUPER-RESOLUTION IN GAPPED BANDS
Sanhita Guha, Andreas Bathelt, Joachim Ender, Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR), Germany
MOP.P8.3: LOW LATENCY FOREST LOGGING MONITORING USING DIFFER-MODALITY LEARNING APPROACH
Pradeep Kambhampati, Prakhar Misra, Rishabh Chavhan, Abhinandan Arya, Synspective, Japan
MOP.P8.4: A MACHINE LEARNING BASED GLOBAL MERGED DIURNAL ICE/SNOW CLOUD PRODUCT FROM SPACEBORNE PASSIVE MICROWAVE OBSERVATIONS AND ITS APPLICATIONS TO MODEL EVALUATION
Jie Gong, Chenxi Wang, Dong Wu, NASA Goddard Space Flight Center, United States; Yiding Wang, Leah Ding, American University, United States; Donifan Barahona, NASA Goddard Space Flight Center, United States
MOP.P8.5: MULTI-SOURCE FUSION NETWORK FOR REMOTE SENSING IMAGE SEGMENTATION WITH HIERARCHICAL TRANSFORMER
Bo Liu, Bo Ren, Biao Hou, Yu Gu, Xidian University, China
MOP.P8.6: A STUDY ON SST DATA FUSION FROM SPACEBORNE RADIOMETER DATA IN SOUTHEAST ASIA AND ITS ADJACENT SEAS
Weifu Sun, First Institute of Oceanography, Ministry of Natural Resources, China; Yujia Zhao, China University of Petroleum (East China), China
MOP.P8.7: EFFICIENT MULTI-RESOLUTION FUSION FOR REMOTE SENSING DATA WITH LABEL UNCERTAINTY
Hersh Vakharia, Xiaoxiao Du, University of Michigan, United States
MOP.P8.8: PERCEPTUAL LOSS FOR TRAINING MULTI-IMAGE SUPER-RESOLUTION
Pawel Benecki, Daniel Kostrzewa, Michal Kawulok, Silesian University of Technology, Poland
MOP.P8.9: A CONCURRENT APPROACH FOR INFRASTRUCTURE MONITORING AND RISKS PREVENTION USING SPACE, AERIAL AND GROUND MEASUREMENTS
Daniele Latini, GEO-K, Italy; Chiara Clementini, Davide De Santis, Fabio Del Frate, University of Rome, Italy; Valerio Gagliardi, Luca Bianchini Ciampoli, Fabrizio D'Amico, Andrea Benedetto, Roma Tre University, Italy; Margherita Fiani, Alessandro Di Benedetto, University of Salerno, Italy; Pietro Leandri, Nicholas Fiorentini, University of Pisa, Italy
MOP.P8.10: ENHANCING SPATIAL RESOLUTION OF BUILDING DATASETS USING TRANSFORMER-BASED SINGLE-IMAGE SUPER-RESOLUTION
Yuwei Cai, Hongjie He, Zhimeng He, University of Waterloo, Canada; Michael A. Chapman, Toronto Metropolitan University, Canada; Jing Li, Lingfei Ma, Central University of Finance and Economics, China; Jonathan Li, University of Waterloo, Canada
Resources
No resources available.