WE3.R2.7

A CNN system for segmenting tropical cyclones neighborhoods in geostationary images

Joshua May, Scott Tyo, Mehrtash Harandi, Elizabeth Ritchie-Tyo, Liang Hu, Monash University, Australia
Session:
WE3.R2: Segmentation of the Environment Oral
Track:
Data Analysis
Location:
Mitropoulos
Presentation Time:
Wed, 10 Jul, 16:04 - 16:18
Session Co-Chairs:
Sylvain Lobry, Université de Paris Cité and Claudia Paris, ITC Twente
Presentation
Discussion
Resources
No resources available.
Session WE3.R2
WE3.R2.1: ASC-Trans: A Hybrid Transformer Network Based on Adaptive Semantic Connection for Desert Boundary Segmentation
Zhaobin Wang, Yongke Lv, Lanzhou University, China; Yaonan Zhang, Northwest Institute of Eco-Environment and Resources, CAS, China
WE3.R2.2: Water Region Segmentation in SAR Images Based on Compact Operational UNets
Turker Ince, German International University, Berlin, Germany; Steven Beninati, University of Massachusetts, Amherst, United States; Ozer Devecioglu, Tampere University, Finland; Stephen Frasier, University of Massachusetts, Amherst, United States; Moncef Gabbouj, Tampere University, Finland
WE3.R2.3: LANDSLIDE RECOGNITION BASED ON BISENET LIGHTWEIGHT NETWORK
Siyu Zheng, China University of Geosciences, China; Lina Xu, China University of Geoscience, China; Tao Chen, China University Of Geosciences, China; Guangqi Xie, Hubei university of technology, China; ,
WE3.R2.4: LANDSLIDE RECOGNITION BASED ON CNN AND TRANSFORMER FEATURE FUSION
Xinran Li, Tao Chen, China University of Geosciences, China
WE3.R2.5: RAPID AND ACCURATE DETECTION OF FLOOD INUNDATION AREAS FROM SENITNEL-1 SAR DATA USING A MODIFIED DEEPLABV3+ MODEL
Yuqi Du, Lizhen Lu, 浙江大学, China
WE3.R2.6: HYBRID CNN-TRANSFORMER FOR MARINE AQUACULTURE SEMANTIC SEGMENTATION BASED ON POLSAR IMAGES
Keyuan Liu, Danchen Zheng, Jianchao Fan, Dalian University of Technology, China
WE3.R2.7: A CNN system for segmenting tropical cyclones neighborhoods in geostationary images
Joshua May, Scott Tyo, Mehrtash Harandi, Elizabeth Ritchie-Tyo, Liang Hu, Monash University, Australia
Resources
No resources available.