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Sensors 2017, 17(5), 1062; doi:10.3390/s17051062

Super-Resolution Reconstruction of High-Resolution Satellite ZY-3 TLC Images

1
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
2
Geomatics Center of Guangxi, Guangxi Bureau of Surveying, Mapping and GeoInformation, Nanning 530023, China
*
Author to whom correspondence should be addressed.
Academic Editors: Cheng Wang, Julian Smit, Ayman F. Habib and Michael Ying Yang
Received: 3 March 2017 / Revised: 3 May 2017 / Accepted: 4 May 2017 / Published: 7 May 2017
(This article belongs to the Special Issue Multi-Sensor Integration and Fusion)
View Full-Text   |   Download PDF [2307 KB, uploaded 15 May 2017]   |  

Abstract

Super-resolution (SR) image reconstruction is a technique used to recover a high-resolution image using the cumulative information provided by several low-resolution images. With the help of SR techniques, satellite remotely sensed images can be combined to achieve a higher-resolution image, which is especially useful for a two- or three-line camera satellite, e.g., the ZY-3 high-resolution Three Line Camera (TLC) satellite. In this paper, we introduce the application of the SR reconstruction method, including motion estimation and the robust super-resolution technique, to ZY-3 TLC images. The results show that SR reconstruction can significantly improve both the resolution and image quality of ZY-3 TLC images. View Full-Text
Keywords: super-resolution; image reconstruction; three-line camera satellite; ZY-3; remote sensing super-resolution; image reconstruction; three-line camera satellite; ZY-3; remote sensing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, L.; Wang, W.; Luo, H.; Ying, S. Super-Resolution Reconstruction of High-Resolution Satellite ZY-3 TLC Images. Sensors 2017, 17, 1062.

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