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    • Crop type classification of remote sensing image time series based on multi-scale spatial-temporal global attention model

    • In the field of agricultural resource investigation, experts have proposed the multi-scale spatiotemporal global attention model MSSTGAM, which effectively improves the accuracy of crop classification in remote sensing image time series.
    • Vol. 28, Issue 11, Pages: 2865-2877(2024)   

      Received:03 January 2024

      Published:07 November 2024

    • DOI: 10.11834/jrs.20243557     

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  • Zhang W X,Tang P, Meng Y, Zhao L J,Zhao Z T and Zhang Z. 2024. Crop type classification of remote sensing image time series based on multi-scale spatial-temporal global attention model. National Remote Sensing Bulletin, 28(11):2865-2877 DOI: 10.11834/jrs.20243557.
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相关作者

TANG Ping 中国科学院空天信息创新研究院
ZHAO Lijun 中国科学院空天信息创新研究院
ZHAO Zhitao 中国科学院空天信息创新研究院
ZHANG Zheng 中国科学院空天信息创新研究院;中国科学院大学 电子电气与通信工程学院
张正 中国科学院空天信息创新研究院
LIU Hengzhi 湖北大学 资源环境学院
WANG Xinwen 湖北大学 资源环境学院
WANG Guangshuai 天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司

相关机构

Faculty of Resources and Environmental Science, Hubei University
Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-temporal Big Data Technology
China Railway Design Group Limited
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