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Deep nonnegative matrix factorization with dual-factor hierarchical constraints for hyperspectral unmixing
Image Processing | 更新时间：2025-10-15

    • Deep nonnegative matrix factorization with dual-factor hierarchical constraints for hyperspectral unmixing

    • “In the field of hyperspectral unmixing, researchers have proposed a deep NMF framework that significantly improves unmixing accuracy and robustness by enhancing spectral nonlinear feature expression and improving spatial consistency of abundance estimation.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 10, Pages: 1490-1508(2025)

    • DOI：10.37188/CJLCD.2025-0122    

      CLC： TP751
    • CSTR：32172.14.CJLCD.2025-0122    

    • Received：13 June 2025，

      Revised：2025-07-11，

      Published：05 October 2025

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  • QU Kewen, LUO Xiaojuan, BAO Wenxing. Deep nonnegative matrix factorization with dual-factor hierarchical constraints for hyperspectral unmixing[J]. Chinese journal of liquid crystals and displays, 2025, 40(10): 1490-1508. DOI： 10.37188/CJLCD.2025-0122. CSTR： 32172.14.CJLCD.2025-0122.

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