WEP.P16.2

A FAST NEURAL NETWORK-BASED APPROACH FOR JOINT MID-IR AND FAR-IR SURFACE SPECTRAL EMISSIVITY RETRIEVAL

Zhenning Yang, Xiuhong Chen, Xianglei Huang, University of Michigan, United States; Tristan L’Ecuyer, University of Wisconsin-Madison, United States; Brian Drouin, Jet Propulsion Laboratory, California Institute of Technology, United States
Session:
WEP.P16: Geo-physical Parameter Estimation via Machine Learning Poster
Track:
AI and Big Data
Location:
Poster Area 16
Presentation Time:
Wed, 19 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Co-Chairs:
Lexie Yang, Oak Ridge National Laboratory and Nathan Jacobs, Washington University in St. Louis
Session Managers:
Ge Jiang and HUMAIRA SANAM and Ayoti Banerjee and Srashti Singh
Presentation
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Discussion
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Resources
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Session WEP.P16
WEP.P16.1: LIGHT: JOINT INDIVIDUAL BUILDING EXTRACTION AND HEIGHT ESTIMATION FROM SATELLITE IMAGES THROUGH A UNIFIED MULTITASK LEARNING NETWORK
Yongqiang Mao, Xian Sun, Xingliang Huang, Kaiqiang Chen, Chinese Academy of Sciences, China
WEP.P16.2: A FAST NEURAL NETWORK-BASED APPROACH FOR JOINT MID-IR AND FAR-IR SURFACE SPECTRAL EMISSIVITY RETRIEVAL
Zhenning Yang, Xiuhong Chen, Xianglei Huang, University of Michigan, United States; Tristan L’Ecuyer, University of Wisconsin-Madison, United States; Brian Drouin, Jet Propulsion Laboratory, California Institute of Technology, United States
WEP.P16.3: CROSSADAPT: CROSS-SCENE ADAPTATION FOR MULTI-DOMAIN DEPTH ESTIMATION
Yu Zhang, University of Kentucky, United States; M. Usman Rafique, Kitware, Inc., United States; Gordon Christie, BlackSky, United States; Nathan Jacobs, Washington University in St. Louis, United States
WEP.P16.4: A DEEP LEARNING SEA ICE FORECASTING MODEL CONSIDERING SEA ICE CHANGE CHARACTERISTICS
Yang Li, Yubao Qiu, Guoqiang Jia, Lin Huang, Yixiao Zhang, Chinese Academy of Sciences, China
WEP.P16.5: HIGH-RESOLUTION FINE-GRAINED WETLAND MAPPING BASED ON CLASS-BALANCED DEEP SEMANTIC SEGMENTATION NETWORKS
Yingxin Wu, Yinhe Liu, Sunan Shi, Yanfei Zhong, Wuhan University, China
WEP.P16.6: WATER BODY DETECTION BASED ON AN IMPROVED U-NET NETWORK
Xinyu Xu, Huazhen Liu, Tao Zhang, Zenghui Zhang, Shanghai Jiao Tong University, China; Weiwei Guo, Tongji University, China
WEP.P16.7: PREDICTION OF ANNUAL SNOW ACCUMULATION USING A RECURRENT GRAPH CONVOLUTIONAL APPROACH
Benjamin Zalatan, Maryam Rahnemoonfar, Lehigh University, United States
WEP.P16.8: AI DATA-DRIVEN SEDIMENTS DYNAMICS SHORT TERM FORECAST FROM OBSERVATION IN THE BAY OF BISCAY
Jean-Marie VIENT, Université Bretagne occidentale, France; Frédéric JOURDIN, SHOM, France; Ronan FABLET, Clément DORFFER, IMT-ATLANTIQUE, France; Christophe Delacourt, IUEM Brest, France
WEP.P16.9: SUPERVISED CLASSIFICATION OF WET SNOW BY PHYSICAL SNOWPACK MODEL LABELING
Matthieu Gallet, Abdourrahmane Atto, Emmanuel Trouvé, University Savoie Mont Blanc, France; Fatima Karbou, Météo France, France
Resources
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