Infrared Technology, Volume. 47, Issue 4, 453(2025)

A Deep Learning Method for Hyperspectral Detection of Heavy Metal Contaminants in Soil Based on Attention Mechanism

Ye YE
Author Affiliations
  • Cloud Computing Big Data Laboratory of School of Information Engineering, Taizhou University, Taizhou 225300, China
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    References(10)

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    [4] [4] LIU H, DU Q, YANG Y. Hyperspectral image classification with self-adaptive dual-branch convolutional neural networks[J].IEEE Transactions on Geoscience and Remote Sensing, 2020,58(8): 5575-5587.

    [5] [5] LI R, DU Q, YANG Y. Multi-scale hypergraph convolutional networks for hyperspectral image classification[J].IEEE Transactions on Geoscience and Remote Sensing, 2021,59(8): 6786-6798.

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    [7] [7] WEI H, WU C, ZHANG L. Dual-stream deep residual networks for hyperspectral image classification[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,14: 4230-4242.

    [8] [8] ZHANG L, LI J, LI Z, et al. Hyperspectral image classification with Markov random fields and convolutional neural networks[J].IEEE Transactions on Geoscience and Remote Sensing, 2018,56(9): 5252-5266.

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    YE Ye. A Deep Learning Method for Hyperspectral Detection of Heavy Metal Contaminants in Soil Based on Attention Mechanism[J]. Infrared Technology, 2025, 47(4): 453

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    Paper Information

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    Received: Dec. 15, 2023

    Accepted: May. 13, 2025

    Published Online: May. 13, 2025

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