• Laser & Optoelectronics Progress
  • Vol. 57, Issue 2, 21013 (2020)
Qin Yang, Xiao hua, and Luo Kaiqing*
Author Affiliations
  • School of Physics and Telecommunication Engineering of China, South China Normal University, Guangzhou, Guangdong 510006, China
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    DOI: 10.3788/LOP57.021013 Cite this Article Set citation alerts
    Qin Yang, Xiao hua, Luo Kaiqing. Hyperspectral Image Classification Based on Gaussian Linear Process and Multi-Neighborhood Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21013 Copy Citation Text show less
    Surface coverage category plane of each database. (a) Indian Pines database; (b) Pavia University database; (c) Salinas database
    Fig. 1. Surface coverage category plane of each database. (a) Indian Pines database; (b) Pavia University database; (c) Salinas database
    Classification results of different algorithms on Indian Pines database. (a) Original image; (b) LDA_MLR; (c) GF_LDA_MLR; (d) GF_LDA_MLR_3M
    Fig. 2. Classification results of different algorithms on Indian Pines database. (a) Original image; (b) LDA_MLR; (c) GF_LDA_MLR; (d) GF_LDA_MLR_3M
    Color
    R128012801280128641926419264192641920
    G012812800128128001281280012812864
    B00012812812812800001281281281280
    Table 1. RGB channel values represented by each category in database
    DatabaseMLRLDA_MLRGF_LDA_MLRGF_LDA_MLR_3M
    OA /%KappaOA /%KappaOA /%KappaOA /%Kappa
    Indian Pines60.770.537172.850.689686.200.842299.050.9891
    Pavia University78.270.696584.160.788195.160.935799.380.9918
    Salinas82.820.806791.450.904995.630.951398.880.9875
    Table 2. Classification accuracy of each algorithm with MLR as classifier
    DatabaseRBF-SVMCNN3DCNNGF_LDA_MLR_3M
    OA /%KappaOA /%KappaOA /%KappaOA /%Kappa
    Indian Pines77.800.745085.400.843092.800.919094.590.9381
    Pavia University90.300.871093.000.907095.200.938098.280.9771
    Salinas89.300.880092.300.914097.900.977098.030.9781
    Table 3. Classification results of each spectral-spatial joint method on three databases
    DatabaseRBF-SVMCNN3DCNNGF_LDA_MLR_3M
    Indian Pines0.4/1.2220.7/0.52690.2/16.01.56/0.56
    Pavia University0.5/3.5371.8/1.21979.0/31.41.62/2.30
    Salinas0.4/2.7165.1/0.71157.7/28.16.13/2.81
    Table 4. Running time of each method on three databases (training time /test time)s
    Qin Yang, Xiao hua, Luo Kaiqing. Hyperspectral Image Classification Based on Gaussian Linear Process and Multi-Neighborhood Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21013
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