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Hyperspectral unmixing with shared endmember variability in homogeneous region
Information Sciences | 更新时间：2024-02-29
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    • Hyperspectral unmixing with shared endmember variability in homogeneous region

    • “In the field of remote sensing, experts have improved the perturbation linear mixing model and proposed the SEVU algorithm, which effectively handles endmember variability and provides a new solution for remote sensing image unmixing.”
    • Optics and Precision Engineering   Vol. 32, Issue 4, Pages: 578-594(2024)

    • DOI：10.37188/OPE.20243204.0578    

      CLC： TP399

    • Received：05 August 2023，

      Revised：14 September 2023，

      Published：25 February 2024

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  • WANG Ning,BAO Wenxing,QU Kewen,et al.Hyperspectral unmixing with shared endmember variability in homogeneous region[J].Optics and Precision Engineering,2024,32(04):578-594. DOI： 10.37188/OPE.20243204.0578.

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