Enhancement of AWiFS Spatial Resolution with SVM Learning

The ability of space borne sensors is limited to acquire images having wide swath with high temporal resolution and high spatial resolutions simultaneously. Fine details of the earth's surface features can be captured using high resolution (HR) remote sensors in remote sensing (RS) data collection. Data fusion from two or more sensors can be used to derive enough information to satisfy observation needs for a specified application. This work aims to predict a HR image for the corresponding low resolution (LR) image using a LR-HR image pair. Quality Assessment is performed for original HR and predicted HR images. Simulation results proved the strength of the proposed method of HR image prediction.