چکیده (انگلیسی):

The key point of the Super-Resolution (SR) process is the accurate registration of the low resolution images,
i.e., accurate measuring of the fixed shift between them, to obtain high resolution image. Due to certain
malfunction, some Egyptsat-1 images have inconsistent sub-pixel shift. Therefore, in this study we propose a
methodology to use this kind of shift for reconstructing a SR image of Egyptsat-1 from its low resolution
bands. It is a trade-off between the capability of catching spatial details and the sensitivity to the erratic shift
existed along the image. Firstly, this inconsistent shift between the bands is transformed into reliable shift.
Then a SR method based on image fusion scheme with multi-resolution decomposition is performed. The
fusion process is conducted in steerable wavelet domain using normalized convolution technique. It allows the
recognition of objects with size approaching its limiting spatial resolution. Results show that the proposed
methods make significant spatial resolution improvements from 7.8 to 4 m. Different quantitative measures of
the proposed methodology were assessed and tested with some implemented commonly used SR methods.
These methods are; nonparametric bayesian, POCS, iterative-interpolation, robust and iterated back projection.
The visual and quantitative evaluations verify the usefulness and effectiveness of the proposed methodology.