Improving Spatial Resolution Of Satellite Image Using Data Fusion Method

Abstract

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