Super resolution of remote sensing data
Remote sensing image data generated by various sensors, especially, hyperspectral sensors, have limited spatial resolution. It is valuable to improve the resolution via post possessing. Mathematical modelling and computer power can be used to generate finer classification map than the original pixel resolution. Super resolution has been investigated in different ways in recent years, including super resolving data and super resolving decision. There are wide issues and research in this area. The outcome is significant practically and scientifically.
Description of Work:
- Evaluation of current studies
- Improve the modelling or reducing computational complexity
- Implement real data processing framework.