Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19229
Title: Class allocation for soft-then-hard subpixel mapping algorithms with adaptive visiting order of classes
Authors: Wang, Q
Shi, W 
Zhang, H
Keywords: Class allocation
Remote sensing
Subpixel mapping (SPM)
Superresolution mapping
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE geoscience and remote sensing letters, 2014, v. 11, no. 9, 6716052, p. 1494-1498 How to cite?
Journal: IEEE geoscience and remote sensing letters 
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.
URI: http://hdl.handle.net/10397/19229
ISSN: 1545-598X
DOI: 10.1109/LGRS.2013.2296628
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