Analysis of shift estimation techniques of super resolution applied to satellite images
- Resource Type
- Conference
- Authors
- Moustafa, Marwa; Ebied, Hala M.; Helmy, Ashraf
- Source
- 2013 8th International Conference on Computer Engineering & Systems (ICCES) Computer Engineering & Systems (ICCES), 2013 8th International Conference on. :233-238 Nov, 2013
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Estimation
Frequency-domain analysis
Spatial resolution
Satellites
Vegetation mapping
Image reconstruction
Shift Estimation
SPOT-5 Images
Super Resolution
- Language
There is a high demand for high-resolution satellite sensing in modern application. Super Resolution (SR) offers an affordable solution for this high demand. The accuracy of super resolution depends on the accuracy of determining the difference between the low-resolution images. Shift estimation is the first and the most critical step in super resolution. This paper discusses shift estimation techniques in both spatial and frequency domains. It compares Vandewalle algorithm, Lucchese algorithm and Keran algorithm. Two real satellite images (SPOT-5) are used in the experiment. The images have −0.5 and 0.5 sub pixel shift in the horizontal and vertical directions respectively. The experimental results show that the Estimation shift parameters in spatial domain methods outperform the frequency domain methods.