登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Wang, Chong, Zheng, Gang, Li, Xiaofeng, Xu, Qing, Liu, Bin, Zhang, Jun (2022) Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-16 doi:10.1109/tgrs.2021.3066299

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleTropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsWang, ChongAuthor
Zheng, GangAuthor
Li, XiaofengAuthor
Xu, QingAuthor
Liu, BinAuthor
Zhang, JunAuthor
Year2022Volume60
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2021.3066299Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15558142Long-form Identifiermindat:1:5:15558142:7
GUID0
Full ReferenceWang, Chong, Zheng, Gang, Li, Xiaofeng, Xu, Qing, Liu, Bin, Zhang, Jun (2022) Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-16 doi:10.1109/tgrs.2021.3066299
Plain TextWang, Chong, Zheng, Gang, Li, Xiaofeng, Xu, Qing, Liu, Bin, Zhang, Jun (2022) Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-16 doi:10.1109/tgrs.2021.3066299
In(2022) IEEE Transactions on Geoscience and Remote Sensing Vol. 60. Institute of Electrical and Electronics Engineers (IEEE)

See Also

These are possibly similar items as determined by title/reference text matching only.

Wang, Yan, Zheng, Gang, Li, Xiaofeng, Zhou, Lizhang, Liu, Bin, Chen, Peng, Ren, Lin, Li, Xiaohui (2022) An Automatic Algorithm for Estimating Tropical Cyclone Centers in Synthetic Aperture Radar Imagery. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-16 doi:10.1109/tgrs.2021.3105705
Mu, Shanshan, Li, Xiaofeng, Wang, Haoyu, Zheng, Gang, Perrie, William, Wang, Chong (2024) High-Resolution Tropical Cyclone Rainfall Detection From C-Band SAR Imagery With Deep Learning. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3445280
Zheng, Gang, Liu, Jianguo, Yang, Jingsong, Li, Xiaofeng (2019) Automatically Locate Tropical Cyclone Centers Using Top Cloud Motion Data Derived From Geostationary Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 57 (12) 10175-10190 doi:10.1109/tgrs.2019.2931795
Wang, Han, Xu, Qing, Yin, Xiaobin, Cheng, Yongcun (2024) Determination of Low-Intensity Tropical Cyclone Centers in Geostationary Satellite Images Using a Physics-Enhanced Deep-Learning Model. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-10 doi:10.1109/tgrs.2024.3363842
Tian, Wei, Zhou, Xinxin, Huang, Wei, Zhang, Yonghong, Zhang, Pengfei, Hao, Shifeng (2022) Tropical Cyclone Intensity Estimation Using Multidimensional Convolutional Neural Network From Multichannel Satellite Imagery. IEEE Geoscience and Remote Sensing Letters, 19. 1-5 doi:10.1109/lgrs.2021.3134007
Zhang, Rui, Liu, Qingshan, Hang, Renlong (2020) Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images. IEEE Transactions on Geoscience and Remote Sensing, 58 (1) 586-597 doi:10.1109/tgrs.2019.2938204
Tian, Miao, Zhang, Taidong, Liu, Guanghui, Lin, Lin (2022) Estimation of Tropical Cyclone Intensity Using Synthetic Satellite Microwave Temperature Anomaly Structure and a Multifeature Distribution Learning Network. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-12 doi:10.1109/tgrs.2021.3132620
Zhou, Lizhang, Zheng, Gang, Yang, Jingsong, Li, Xiaofeng, Zhang, Bin, Wang, He, Chen, Peng, Wang, Yan (2022) Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-11 doi:10.1109/tgrs.2021.3062401
Tan, Jinkai; Chen, Sheng; Chen, Haonan (2025) Estimating Tropical Cyclone Intensity via Deep Learning and Storm Morphology Recognition From Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3625624
Zhang, Guosheng, Xu, Chao, Li, Xiaofeng, Zhu, Ziqiang, Perrie, William (2022) Tropical Cyclone Center and Symmetric Structure Estimating From SMAP Data. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-11 doi:10.1109/tgrs.2021.3131004
Karvonen, Juha (2022) Baltic Sea Ice Concentration Estimation From C-Band Dual-Polarized SAR Imagery by Image Segmentation and Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-11 doi:10.1109/tgrs.2021.3097885
 
and/or  
版权所有© mindat.org1993年至2026年，除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.5 03:17:46
Go to top of page