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
Link To Document :
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