Correction of Sea Surface Wind Speed Based on SAR Rainfall Grade Classification Using Convolutional Neural Network-Reference-Cited by-同舟云学术

Correction of Sea Surface Wind Speed Based on SAR Rainfall Grade Classification Using Convolutional Neural Network

Published:2023 Issue: Volume:16 Page:321-328
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Guo Chaogang¹^ORCID,Ai Weihua¹^ORCID,Zhang Xi²^ORCID,Guan Yanan²,Liu Yin³,Hu Shensen¹,Zhao Xianbin¹

Affiliation:

1. College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China

2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China

3. Jiangsu Meteorological Observation Center, Key Laboratory of Atmosphere Sounding, Nanjing, China

Funder

Key Scientific Research Projects of Jiangsu Provincial Meteorological Bureau

Key Laboratory of Atmosphere Sounding, CMA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference40 articles.

3. Content based image retrieval using combined features of color and texture features with SVM classification;usha;Comput Sci,2014

5. An overview of the global precipitation measurement (GPM) mission and it's latest development;tang;Remote Sens Technol Appl,2015

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2. A Hour-Ahead Wind Speed Forecasting Using One-Dimensional Convolutional Neural Network;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24