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Multi-scale normalized detection method for airborne wide-area remote sensing images
更新时间：2024-10-12

    • Multi-scale normalized detection method for airborne wide-area remote sensing images

    • “In the field of remote sensing image object detection, the MNNet model improves detection accuracy and speed by optimizing segmentation methods and adaptive non maximum suppression algorithms.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 8, Pages: 2329-2337(2024)
    • 作者机构：

      1.中国科学院 长春光学精密机械与物理研究所,长春 130033

      2.中国科学院大学 大珩学院,北京 100049

      3.驻长春地区第一军事代表室,长春130033

      4.上海机电工程研究所,上海 201109

    • DOI：10.13229/j.cnki.jdxbgxb.20230034    

      CLC： TP391

    • Received：10 January 2023，

      Published：01 August 2024

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  • ZHU Sheng-jie,WANG Xuan,XU Fang,et al.Multi-scale normalized detection method for airborne wide-area remote sensing images[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(08):2329-2337. DOI： 10.13229/j.cnki.jdxbgxb.20230034.

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