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
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