• DocumentCode
    1773
  • Title

    Utilizing Multiple Subpixel Shifted Images in Subpixel Mapping With Image Interpolation

  • Author

    Qunming Wang ; Wenzhong Shi

  • Author_Institution
    Dept. of Land Surveying & Geo-Inf., Hong Kong Polytech. Univ., Kowloon, China
  • Volume
    11
  • Issue
    4
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    798
  • Lastpage
    802
  • Abstract
    In this letter, multiple subpixel shifted images (MSIs) were utilized to increase the accuracy of subpixel mapping (SPM), based on the fast bilinear and bicubic interpolation. First, each coarse spatial resolution image of MSI is soft classified to obtain class fraction images. Using bilinear or bicubic interpolation, all fraction images of MSI are upsampled to the desired fine spatial resolution. The multiple fine spatial resolution images for each class are then integrated. Finally, the integrated fine spatial resolution images are used to allocate hard class labels to subpixels. Experiments on two remote sensing images showed that, with MSI, both bilinear and bicubic interpolation-based SPMs are more accurate. The new methods are fast and do not need any prior spatial structure information.
  • Keywords
    geophysical image processing; image resolution; interpolation; terrain mapping; bicubic interpolation-based subpixel mapping; bilinear interpolation-based subpixel mapping; class fraction images; coarse spatial resolution image; hard class labels; image interpolation; integrated fine spatial resolution images; land cover mapping; multiple fine spatial resolution images; multiple subpixel shifted images; remote sensing images; spatial structure information; Accuracy; Hyperspectral sensors; Interpolation; Neural networks; Spatial resolution; Image interpolation; remote sensing; subpixel mapping (SPM); subpixel shifted images; superresolution mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2279138
  • Filename
    6594805