Improving Spatial Resolution Of Satellite Image Using Data Fusion Method


While many remote sensing and GIS applications require both the spatial resolution and spectral resolution be high, image fusion, or in other words, image sharpening, is a useful technique. To date, numerous image fusion techniques have been developed to combine the clear geometric features of the panchromatic image and the color information of the multispectral image. This paper compares the results of four different pixel based fusion techniques, HLS, Brovey transformation,Gram–Schmidt and HSV techniques used to merge the ETM+ multispectral image with (28.5 m)spatial resolution and panchromatic image captured by SPOT satellite with (10m) spatial resolution, correlation coefficient , root mean square error and peak signal to noise ratio criteria have been used to achieve the comparison among the using techniques.