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Proceedings Paper

Super-resolution rendering for Digital Earth applications
Author(s): Min Li; Shihua Li; Xiaofang Liu; Fu Wang; Hong Jin
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Paper Abstract

Digital Earth rendering applications, such as Google Earth and World Wind, allow us to explore real information of the Earth surface. To show the diverse details of the Earth surface, it requires high resolution satellite images. In some cases obtaining high resolution satellite images cost too much and sometimes there are even no such images for the interesting sites. In this paper, we present a method using example-based super-resolution techniques combined with image analogies framework to improve the visual quality of satellite images. Detailed high resolution and low resolution satellite images of the same site are regarded as example pairs to form a super-resolution filter. The filter effectively improves resolution of low-resolution satellite images. Moreover, it preserves the coherence of the images and improves the performance of the Digital Earth applications as well. The proposed method has been tested on the World Wind, experiment results show the effectiveness of our method.

Paper Details

Date Published: 4 November 2010
PDF: 6 pages
Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 784005 (4 November 2010); doi: 10.1117/12.872297
Show Author Affiliations
Min Li, Univ. of Electronic Science and Technology of China (China)
GuiLin Airforce Academy (China)
Shihua Li, Univ. of Electronic Science and Technology of China (China)
Xiaofang Liu, Univ. of Electronic Science and Technology of China (China)
SiChuan Univ. of Science and Engineering (China)
Fu Wang, Univ. of Electronic Science and Technology of China (China)
Hong Jin, GuiLin Airforce Academy (China)


Published in SPIE Proceedings Vol. 7840:
Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality
Huadong Guo; Changlin Wang, Editor(s)

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