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    • Eyed tropical cyclone intensity objective estimation model based on infrared satellite image and relevance vector machine

    • In the field of tropical cyclone intensity prediction, experts have constructed an objective eye TC intensity determination model based on stationary infrared satellite cloud images and correlation vector machine RVM. Through Gaussian smoothing denoising, GAC model segmentation of eye walls, extraction of brightness temperature gradient information, and other methods, the TC intensity is effectively estimated, providing a solution for mitigating the impact of disasters.
    • Vol. 22, Issue 4, Pages: 581-590(2018)   

      Received:23 June 2017

      Accepted:26 January 2018

      Published:2018-07

    • DOI: 10.11834/jrs.20187234     

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  • Dai L J, Zhang C J, Xue L C, Ma L M and Lu X Q. 2018. Eyed tropical cyclone intensity objective estimation model based on infrared satellite image and relevance vector machine. Journal of Remote Sensing, 22(4): 581–590 DOI: 10.11834/jrs.20187234.
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MENG Qingyan 海南空天信息研究院 海南省地球观测重点实验室;中国科学院空天信息创新研究院;中国科学院大学
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JI Zhe 中国科学院空天信息创新研究院 生态环境部卫星遥感重点实验室&遥感与数字地球全国重点实验室;中国科学院大学

相关机构

Key Laboratory of Earth Observation of Hainan Province,Hainan Aerospace Information Research Institute
Aerospace Information Research Institute, Chinese Academy of Sciences
University of Chinese Academy of Sciences
State Key Laboratory of Internet of Things for Smart City and Department of Ocean Science and Technology, University of Macau, Macao
China Academy of Space Technology
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