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    • View-consistency network for weakly supervised oriented object detection in remote sensing images

    • In the field of remote sensing rotating object detection, researchers have proposed a detection model that only uses image level annotation, which improves detection performance through consistency constraints and provides a new solution to address annotation difficulties.
    • Vol. 28, Issue 12, Pages: 3213-3230(2024)   

      Published: 07 December 2024

    • DOI: 10.11834/jrs.20243138     

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  • Fang T T,Liu B,Chen C H and Li X Y. 2024. View-consistency network for weakly supervised oriented object detection in remote sensing images. National Remote Sensing Bulletin, 28(12):3213-3230 DOI: 10.11834/jrs.20243138.
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Chen Chunhui 安徽省基础测绘信息中心;自然资源部江淮耕地资源保护与生态修复重点实验室
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School of Environment Science and Spatial Informatics, China University of Mining and Technology
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