Improving the spatial resolution of AWiFS sensor data using LISS III and AWiFS datapair with contourlet transform learning

Abstract

Acquiring satellite images having high spectral, spatial, temporal, and radiometric resolutions simultaneously is very difficult. In this work, data from two sensors, viz., LISS III and AWiFS (DataPair) of Resourcesat-1 satellite (ISRO), are fusioned for improving the spatial resolution of AWiFS data. Best temporal resolution available from Resourcesat-1 is at 5-day repetivity by AWiFS. Using high spatial temporal resolution images, more information can be extracted from the images. Non-subsampled contourlet transform (NSCT) is used for the fusion of LISS III and AWiFS data. Through this fusion, even fine details can be extracted from the surface of the earth. Fusion of one or more images can be used, to determine the information content more accurately in our unambiguous manner. Image fusion process deals with two images with different characteristics and combines the merits of both. Here, an image with high spatial resolution (HSR) is used for a corresponding low spatial resolution (LSR) image. The quality of the output data are checked with the quality of the original image. The results of the desired high-resolution image through this current method are found to be satisfactory.