TH4.R13.4

EXEMPLAR-FREE INCREMENTAL LEARNING FOR MICRO-DOPPLER SIGNATURE CLASSIFICATION

Xu Si, Peikun Zhu, Jing Liang, University of Electronic Science and Technology of China, China
Session:
TH4.R13: Artificial Intelligence for Radar and Satellite Remote Sensing of Precipitation Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Thu, 20 Jul, 16:21 - 16:33 Pacific Time (UTC -8)
Session Chair:
Haonan Chen, Colorado State University
Session Manager:
Ge Jiang
Presentation
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Discussion
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Resources
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Session TH4.R13
TH4.R13.1: PRECIPITATION RETRIEVAL USING ABI AND GLM MEASUREMENTS ON THE GOES-R SERIES
Yifan Yang, Alexander Hu, Haonan Chen, Kyle Hilburn, Colorado State University, United States
TH4.R13.2: A NEW SATELLITE-BASED PRECIPITATION DOWNSCALING SCHEME FOR DATA-SPARSE AREAS USING DEEP LEARNING AND TRANSFER LEARNING
Honglin ZHU, Qiming ZHOU, Aihong CUI, Hong Kong Baptist University, Hong Kong SAR China
TH4.R13.3: Evolution mechanisms modeling of cloud-ice, cloud-water and rain from Microwave remote sensing
Jieying HE, Kangwen LIU, National Space Science Center, Chinese Academy of Sciences, China
TH4.R13.4: EXEMPLAR-FREE INCREMENTAL LEARNING FOR MICRO-DOPPLER SIGNATURE CLASSIFICATION
Xu Si, Peikun Zhu, Jing Liang, University of Electronic Science and Technology of China, China
Resources
No resources available.