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    • Agricultural field segmentation using spatial attention mechanism and multi-task learning strategy

    • In the field of land and resources monitoring, experts have designed a land parcel segmentation model Field Net based on spatial attention mechanism and multi task learning, which improves monitoring efficiency and timeliness.
    • Vol. 28, Issue 11, Pages: 2850-2864(2024)   

      Published: 07 November 2024

    • DOI: 10.11834/jrs.20243191     

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  • Tian F Y,Cao Y P,Zhao H,Wu B F,Zeng H W,Liu Y Z,Qin X L,Zhang M,Zhu L and Zhu W W. 2024. Agricultural Field Segmentation using Spatial Attention Mechanism and Multi-task Learning Strategy. National Remote Sensing Bulletin, 28(11):2850-2864 DOI: 10.11834/jrs.20243191.
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相关作者

CAO Yupei 北京师范大学;山东土地集团数字科技有限公司
ZHAO Hang 中国科学院空天信息创新研究院,遥感科学国家重点实验室;中国科学院大学
WU Bingfang 中国科学院空天信息创新研究院,遥感科学国家重点实验室;中国科学院大学
ZENG Hongwei 中国科学院空天信息创新研究院,遥感科学国家重点实验室;中国科学院大学
LIU Yazhou 山东土地集团数字科技有限公司
QIN Xingli 中国科学院空天信息创新研究院,遥感科学国家重点实验室
ZHANG Miao 中国科学院空天信息创新研究院,遥感科学国家重点实验室
ZHU Liang 中国科学院空天信息创新研究院,遥感科学国家重点实验室

相关机构

State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Science
University of Chinese Academy of Science Beijing
Institute of Geomechanics, Chinese Academy of Geological Sciences
School of Geography and Information Engineering, China University of Geosciences
School of Engineering and Technology, China University of Geosciences
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