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
Link To Document :
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