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Object detection of high-resolution remote sensing images by neural architecture search
更新时间：2025-05-26

    • Object detection of high-resolution remote sensing images by neural architecture search

    • “In the field of remote sensing image object detection, researchers have proposed a new method based on neural network architecture search, which automatically constructs an efficient detection network with better performance than traditional models.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 9, Pages: 2646-2657(2024)
    • 作者机构：

      1.兰州交通大学 电子与信息工程学院， 兰州 730070

      2.兰州交通大学 测绘与地理信息学院， 兰州 730070

    • DOI：10.13229/j.cnki.jdxbgxb.20221472    

      CLC： TP751.1

    • Received：17 November 2022，

      Published：01 September 2024

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  • YANG Jun,HAN Peng-fei.Object detection of high-resolution remote sensing images by neural architecture search[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(09):2646-2657. DOI： 10.13229/j.cnki.jdxbgxb.20221472.

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