  Resampling techniques are being widely used at different stages of satellite
image processing. The existing methodologies cannot perfectly recover features
from a completely under sampled image and hence an intelligent adaptive
resampling methodology is required. We address these issues and adopt an error
metric from the available literature to define interpolation quality. We also
propose a new resampling scheme that adapts itself with regard to the pixel and
texture variation in the image. The proposed CNN based hybrid method has been
found to perform better than the existing methods as it adapts itself with
reference to the image features.
