• Laser & Optoelectronics Progress
  • Vol. 56, Issue 9, 091001 (2019)
Jun Xu1、*, Xuhong Wang2, and Cailing Wang3
Author Affiliations
  • 1 School of Electronic Engineering, Xi'an Aeronautical University, Xi'an, Shaanxi 710077, China
  • 2 College of Urban and Environmental Sciences, Northwest University, Xi'an, Shaanxi 710127, China
  • 3 School of Computer Science, Xi'an Shiyou University, Xi'an, Shaanxi 710065, China
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    DOI: 10.3788/LOP56.091001 Cite this Article Set citation alerts
    Jun Xu, Xuhong Wang, Cailing Wang. Improved Algorithm for Nonnegative Matrix Factorization and Endmember Extraction Based on Data Simplification[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091001 Copy Citation Text show less
    Flow chart of NMF mixed pixel decomposition algorithm improved by data simplification
    Fig. 1. Flow chart of NMF mixed pixel decomposition algorithm improved by data simplification
    AVIRIS data false-color image of Cuprite region
    Fig. 2. AVIRIS data false-color image of Cuprite region
    Endmember extraction results of MVC-NMF algorithm. (a) Before data simplification; (b) after data simplification
    Fig. 3. Endmember extraction results of MVC-NMF algorithm. (a) Before data simplification; (b) after data simplification
    Mineral specieBefore datasimplificationAfter datasimplification
    Alunite0.08720.0866
    Buddingtonite0.13860.1384
    Sphene0.21060.2107
    Chalcedony0.15320.1542
    Muscovite0.08320.0835
    Nortronite0.20420.2052
    Montmorillonite0.11140.1117
    Kaolinite#10.23580.2356
    Desert varnish0.38250.3842
    Operation time/s2686.3539.8
    Table 1. Spectral angles between endmembers extracted by MVC-NMF algorithm and standard spectra in USGS spectral library before and after data simplificationrad
    Jun Xu, Xuhong Wang, Cailing Wang. Improved Algorithm for Nonnegative Matrix Factorization and Endmember Extraction Based on Data Simplification[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091001
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