Paper
3 November 2010 Super-resolution rendering for Digital Earth applications
Min Li, Shihua Li, Xiaofang Liu, Fu Wang, Hong Jin
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min Li, Shihua Li, Xiaofang Liu, Fu Wang, and Hong Jin "Super-resolution rendering for Digital Earth applications", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 784005 (3 November 2010); https://doi.org/10.1117/12.872297
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KEYWORDS
Image filtering

Lawrencium

Image classification

Super resolution

Image resolution

Earth observing sensors

Optical filters

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