Comparison of Several Fusion Rule Based on Wavelet in The Landsat ETM Image

Abstract

Remote sensing image quality and the improvement of remote sensing image position accuracy on Landsat ETM satellite is highly needed in term of remote sensing. Therefore, it is required one way or more to obtain the quality and accuracy of the image which uses image processing. Fusion technique is one of the image processing example that is using an existing descriptions to catch the result of image that can provide better information in the content. In this final task, multispectral images have high spectral information content and low spatial, also high spatial information content in panchromatic image that it is needed to do the image fusion in order to have a spectral information content and high spatial to compare the performance of some fusion rules wavelet-based on the multispectral image fusion and panchromatic imagery. The image used is Landsat ETM. The performance of image fusion rules is compared with the mean gradient parameters, mutual information, mean square error and correlation coefficient. Based on the test results, image fusion has an influence on the information content of multispectral imagery and panchromatic imagery, which is the spectral and spatial information content are getting better, the ratio of the 6 image fusion rules have inconsistent values of the three image testings to the mean gradient parameters, mutual information and mean square error and the results of image fusion of the fifth fusion rules on the correlation coefficient have a consistent value of the three image testings.