Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 51, Issue 5, Pages 2799-2814Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2012.2218612
Keywords
Attraction-repulsion model; endmember; spectral mixture model; subpixel mapping
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Funding
- National Natural Science Foundation of China [41171352]
- National key Basic Research Program of China (973 Program) [2012CB957701]
- High-tech Research and Development Program of China [2012AA12130, 2012AA120905]
- Shanghai Outstanding Academic Leaders Program [12XD1404900]
- China Scholarship Council
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This paper presents a new subpixel mapping method based on subpixel attraction-repulsion. The proposed method is formulated as an optimization problem with respect to attraction-repulsion among subpixels and is used to reconstruct a finer spatial resolution image from a lower resolution one. A comprehensive experiment is conducted to demonstrate the performance of the proposed method, by comparing it with the other three existing subpixel mapping methods, i.e., linear optimization, pixel swapping and spatial attraction model methods. In the experiment, both a synthetic image with known fractional abundances and an EO-1 Hyperion hyperspectral image of Shanghai were used to evaluate performances of the subpixel mapping methods. The experimental result shows that by using spatial dependence with attraction between the same types of ground objects and repulsion between different types of these objects, the proposed subpixel mapping method achieves a better performance on subpixel mapping than the other three methods.
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