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    • Sea ice drift vectors extraction based on feature tracking to Sentinel-1 images

    • The research progress in monitoring Arctic sea ice drift was introduced, and relevant experts compared the effectiveness of four feature matching operators in extracting Arctic sea ice drift vectors. A set of error vector filtering algorithms was proposed, providing a solution to improve the accuracy of sea ice drift vector extraction.
    • Vol. 28, Issue 8, Pages: 2062-2072(2024)   

      Received:23 May 2022

      Published:07 August 2024

    • DOI: 10.11834/jrs.20222238     

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  • Li C Y,Li G,Wang X,Ju Q and Chen Z Q. 2024. Sea ice drift vectors extraction based on feature tracking to Sentinel-1 images. National Remote Sensing Bulletin, 28(8):2062-2072 DOI: 10.11834/jrs.20222238.
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相关作者

Chaoyue LI 中山大学测绘科学与技术学院 南方海洋科学与工程广东省实验室
Gang LI 中山大学测绘科学与技术学院 南方海洋科学与工程广东省实验室
Xue WANG 中山大学测绘科学与技术学院 南方海洋科学与工程广东省实验室
Qi JU 中山大学测绘科学与技术学院 南方海洋科学与工程广东省实验室
Zhuoqi CHEN 中山大学测绘科学与技术学院 南方海洋科学与工程广东省实验室
JU Qi 中山大学 测绘科学与技术学院/南方海洋科学与工程广东省实验室
LI Gang 中山大学 测绘科学与技术学院/南方海洋科学与工程广东省实验室
LI Chaoyue 中山大学 测绘科学与技术学院/南方海洋科学与工程广东省实验室

相关机构

School of Geospatial Engineering and Science, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory
School of Geospatial Engineering and Science, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences
University of Chinese Academy of Sciences
National Marine Environmental Forecasting Center
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