Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0628001(2025)

Hyperspectral Target Detection Based on Spatial-Spectral Reconstruction and Operator Weighting

Tie Li, Hongfeng Jin*, and Zhiqiu Li
Author Affiliations
  • School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, Liaoning , China
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    References(21)

    [2] Yang L, Su L H, Wu B G et al. Target detection algorithm of hyperspectral remote sensing imagery combined with CEM[J]. Journal of Chongqing University of Technology (Natural Science), 31, 146-150, 172(2017).

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    [13] Zhou X Z, Liu J T, Zhou H T. Hyperspectral anomaly detection based on siamese spatial feature with weakly supervised learning[J]. Laser & Optoelectronics Progress, 61, 2428001(2024).

    [14] Wu Q Y, Zhang X Y, Zhang X D. Research on hyperspectral image target detection algorithm based on constrained energy minimization[C], 83-88(2018).

    [17] Li L Y, Li Z W, Wang L Q et al. Semi-supervised hyperspectral anomaly detection based on spatial-spectral background reconstruction[J]. Laser & Optoelectronics Progress, 60, 2028001(2023).

    [18] Jia S, Liu K, Xu M et al. Hyperspectral anomaly detection based on spatial-spectral multichannel autoencoders[J]. National Remote Sensing Bulletin, 28, 55-68(2024).

    [19] Xun L N, Fang Y H, Li X. Target detection algorithm in hyperspectral image based on CEM[J]. Opto-Electronic Engineering, 34, 18-21(2007).

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    Tie Li, Hongfeng Jin, Zhiqiu Li. Hyperspectral Target Detection Based on Spatial-Spectral Reconstruction and Operator Weighting[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0628001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jun. 26, 2024

    Accepted: Jul. 29, 2024

    Published Online: Mar. 6, 2025

    The Author Email: Hongfeng Jin (jinhongfeng1109@163.com)

    DOI:10.3788/LOP241556

    CSTR:32186.14.LOP241556

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