Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2862(2022)

Multispectral Lightweight Ship Target Detection Algorithm for Sentinel-2 Satellite

Li CHEN1; 2; 3;, Shi-yong WANG1; 3;, Si-li GAO1; 3;, Chang TAN1; 2; 3;, and Lin-han LI1; 2; 3;
Author Affiliations
  • 1. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
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    References(11)

    [1] Gao P, Li J, Tian J et al[C]. Ship Detection and Fine-Grained Recognition in Large-Format Remote Sensing Images Based on Convolutional Neural Network. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, 2859(2020).

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    [3] Liu J, Wang P, Zhang Y et al[D]. Journal of Marine Science and Engineering, 9, 932(2021).

    [4] Kanjir U[D]. Acta Astronautica, 155, 45(2019).

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    [9] Gong W B, Shi Z S, Wu Z H[D]. International Journal of Remote Sensing, 42, 2622(2021).

    [10] Chen L Q, Deng D X, Shi W X[D]. Remote Sensing, 13, 660(2021).

    [11] Jin L, Liu G D[D]. Symmetry, 13, 495(2021).

    [12] He K, Ren S, Zhang X et al[D]. Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

    [13] Howard A, Sandler M, Zhu M et al[D]. MobileNetV2: Inverted Residuals and Linear Bottlenecks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE(2018).

    [14] Ma N, Zhang X, Zheng H T et al[D]. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. European Conference on Computer Vision(2018).

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    Li CHEN, Shi-yong WANG, Si-li GAO, Chang TAN, Lin-han LI. Multispectral Lightweight Ship Target Detection Algorithm for Sentinel-2 Satellite[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2862

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    Paper Information

    Category: Research Articles

    Received: Aug. 19, 2021

    Accepted: Nov. 23, 2021

    Published Online: Nov. 17, 2022

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2022)09-2862-08

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