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    • Oriented object detection in remote sensing images with joint angle continuous representation and perceptual balance

    • Remote sensing image directional target detection plays a significant role in environmental monitoring and other fields. Experts have proposed the JCPB algorithm, which solves the problems of discontinuous angle boundaries and perceptual imbalance through angle vector decomposition and angle perception balance strategy. Experimental results show that the algorithm effectively improves detection accuracy.
    • Pages: 1-14(2026)   

      Received:16 September 2025

      Revised:2025-12-27

      Accepted:10 February 2026

      Online First:11 February 2026

    • DOI: 10.11834/jig.250447     

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  • Wang Zhaoyang, Ge Yun, Wu Mengqi, Chen Jinliang. Oriented object detection in remote sensing images with joint angle continuous representation and perceptual balance[J/OL]. Journal of Image and Graphics,2026,1-14. DOI: 10.11834/jig.250447. DOI:
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相关作者

Yu Lingxiao 南京航空航天大学计算机科学与技术学院
Hao Jie 南京航空航天大学计算机科学与技术学院;软件新技术与产业化协同创新中心
Zuo Liang 南京航空航天大学计算机科学与技术学院

相关机构

School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
Center for Collaborative Innovation in Software Technology and Industrialization
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