16 - 21 July, 2023
General
Photos
Welcome Message
Organizing Committee
Contacts
Privacy and Non-Discrimination
Event Conduct and Safety
JSTARS Call for Papers
Program
Plenary Session
Plenary Speakers
Technical Program
Paper Search
Tutorials
Three Minute Thesis
Student Paper Competition
Social Program
For Young Professionals
TIE Events
Technical Tour
Registration
IGARSS 2023 Registration
On-Site Registration Desk
Invitation Letter Request
For Authors
Important Dates
Themes
Paper Submission
Author Invitation Letter
GRSS Travel Support
Sponsorship & Exhibition
Sponsor & Exhibit Registration
Current Sponsors
Current Exhibitors
Destination
Venue
Maps
VISA
Family Resources
Summer School
International Geoscience and Remote Sensing Symposium
Theme Tag Line
IGARSS 2023 Attendee Access
Technical Program
Session WEP.P16
Paper WEP.P16.5
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
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 -7)
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
Not logged in.
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
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
No resources available.