• DocumentCode
    66225
  • Title

    Class Allocation for Soft-Then-Hard Subpixel Mapping Algorithms With Adaptive Visiting Order of Classes

  • Author

    Qunming Wang ; Wenzhong Shi ; Hua Zhang

  • Author_Institution
    Dept. of Land Surveying & Geo-Inf., Hong Kong Polytech. Univ., Kowloon, China
  • Volume
    11
  • Issue
    9
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    1494
  • Lastpage
    1498
  • Abstract
    The soft-then-hard subpixel mapping (STHSPM) algorithm is a type of subpixel mapping (SPM) algorithm consisting of soft class value (between 0 and 1) estimation and hard class allocation for each subpixel. This letter presents a new class allocation method for STHSPM algorithm. As an extension of our previous work in which subpixels for classes are decided in units of classes (UOC), the new approach, named adaptive UOC (AUOC), improves UOC with adaptive visiting order of classes. In AUOC, the visiting order of classes within each coarse pixel is determined based on the local structure rather than the global structure in UOC. Experiments on three remote sensing images show that AUOC is able to improve UOC in terms of SPM accuracy, particularly for SPM with small zoom factors.
  • Keywords
    remote sensing; adaptive visiting classes order; class allocation; remote sensing images; soft-then-hard subpixel mapping algorithms; units of classes; Accuracy; Correlation; Indexes; Remote sensing; Resource management; Spatial resolution; Class allocation; remote sensing; subpixel mapping (SPM); superresolution mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2296628
  • Filename
    6716052