Retrieving Tropical Cyclone Wind Speed with Random Forest Using RADARSAT and Sentinel-1A/B SAR Images-Reference-Cited by-同舟云学术

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Retrieving Tropical Cyclone Wind Speed with Random Forest Using RADARSAT and Sentinel-1A/B SAR Images

Published:2024-07-07 Issue: Volume:31 Page:6795-6797
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Li X.¹,Han X.²,Yang J.¹,Wang J.³,Han G.⁴,Zheng G.¹,Zhou L.¹,Chen P.¹,Ren L.¹,Wang Yiqi¹

Affiliation:

1. Ministry of Natural Resources,State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography,Hangzhou,China,310012

2. Shanghai Jiao Tong University,School of Oceanography,Shanghai,China,200030

3. Sun Yat-sen University,School of Artificial Intelligence,Zhuhai,China,519082

4. Institute of Ocean Sciences,Fisheries and Oceans Canada,Sidney,Canada,V8L 4B2

Funder

National Natural Science Foundation of China

State Key Laboratory of Satellite Ocean Environment Dynamics

Ministry of Natural Resources

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641454.pdf?arnumber=10641454

Reference8 articles.

1. Hurricane Damage Detection using Machine Learning and Deep Learning Techniques: A Review

2. Hurricane eye morphology extraction from SAR images by texture analysis

3. Impact of rain on wave retrieval from Sentinel-1 synthetic aperture radar images in tropical cyclones

4. Cross-Polarized Synthetic Aperture Radar: A New Potential Measurement Technique for Hurricanes

5. Wind Speed Retrieval From VH Dual-Polarization RADARSAT-2 SAR Images

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