• Journal of Infrared and Millimeter Waves
  • Vol. 40, Issue 1, 56 (2021)
Peng WANG1、2、3、*, Hong-Yu YAO1, and Gong ZHANG1
Author Affiliations
  • 1College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
  • 2Hubei Key Laboratory of Intelligent Geo-Information Processing,China University of Geosciences,Wuhan 430074,China
  • 3Hubei Key Laboratory of Regional Development and Environment Response,Hubei University,Wuhan 430062,China
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    DOI: 10.11972/j.issn.1001-9014.2021.01.010 Cite this Article
    Peng WANG, Hong-Yu YAO, Gong ZHANG. A novel interpolation-based subpixel mapping for hyperspectral image by using pansharpening[J]. Journal of Infrared and Millimeter Waves, 2021, 40(1): 56 Copy Citation Text show less
    The flowchart of ISPM
    Fig. 1. The flowchart of ISPM
    The flowchart of proposed PAN-ISPM
    Fig. 2. The flowchart of proposed PAN-ISPM
    (a) False color image of Washington DC (bands 65, 52, and 36 for red, green, and blue, respectively). (b) Coarse image (S=2). (c) Panchromatic image. (d) Pansharpening result.
    Fig. 3. (a) False color image of Washington DC (bands 65, 52, and 36 for red, green, and blue, respectively). (b) Coarse image (S=2). (c) Panchromatic image. (d) Pansharpening result.
    (a) Reference image, (b) BI, (c) BIC, (d) SS-BI, (e) HIPP, (f) PAN-ISPM
    Fig. 4. (a) Reference image, (b) BI, (c) BIC, (d) SS-BI, (e) HIPP, (f) PAN-ISPM
    (a) PCC (%) of the five methods in relation to zoom factor S, (b) Kappa of the five methods in relation to zoom factor S.
    Fig. 5. (a) PCC (%) of the five methods in relation to zoom factor S, (b) Kappa of the five methods in relation to zoom factor S.
    (a) False color image of Rome (bands 150, 10, and 24 for red, green, and blue, respectively), (b) Panchromatic image, (c) Pansharpening result.
    Fig. 6. (a) False color image of Rome (bands 150, 10, and 24 for red, green, and blue, respectively), (b) Panchromatic image, (c) Pansharpening result.
    (a) Reference image, (b) BI, (c) BIC, (d) SS-BI, (e) HIPP, (f) PAN-ISPM
    Fig. 7. (a) Reference image, (b) BI, (c) BIC, (d) SS-BI, (e) HIPP, (f) PAN-ISPM
    PCC (%) of the two experiments in relation to weight parameter θ.
    Fig. 8. PCC (%) of the two experiments in relation to weight parameter θ.
    Computing time of the five ISPM methods in the two experiments
    Fig. 9. Computing time of the five ISPM methods in the two experiments
    PCC (%) of PAN-ISPM result in relation to BDSD and PCA in the two experiments
    Fig. 10. PCC (%) of PAN-ISPM result in relation to BDSD and PCA in the two experiments
    ClassBIBICSS-BIHIPPPAN-ISPM
    Shadow73.44%75.03%81.62%82.83%86.28%
    Water85.56%88.97%94.45%94.73%95.03%
    Road70.55%72.74%76.29%79.10%81.16%
    Tree72.45%75.45%76.61%78.64%79.14%
    Grass74.70%78.60%82.74%83.93%86.60%
    Roof70.67%72.98%77.18%78.56%80.02%
    Trail73.88%75.58%79.08%82.53%84.01%
    PCC76.82%77.47%80.72%81.54%87.18%
    Kappa0.73560.74290.77720.80550.8426
    Table 1. Accuracy evaluation of the five methods.
    ClassBIBICSS-BIHIPPPAN-ISPM
    Vegetation60.08%61.96%66.56%74.50%75.93%
    Soil60.22%61.43%64.93%65.80%71.78%
    Built-up81.32%82.42%83.97%84.99%87.09%
    Water37.18%44.10%49.49%54.36%61.03%
    PCC70.62%72.06%74.89%77.55%80.03%
    Kappa0.587 70.598 50.616 40.639 90.673 6
    Table 2. Accuracy evaluation of the five methods.
    Peng WANG, Hong-Yu YAO, Gong ZHANG. A novel interpolation-based subpixel mapping for hyperspectral image by using pansharpening[J]. Journal of Infrared and Millimeter Waves, 2021, 40(1): 56
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