A Case Study on Satellite Image Fusion Techniques

Many image fusion algorithms and software tools have been developed for combining images of different spectral and spatial resolution. The resultant color image is of high resolution and is used in different remote sensing applications which involve wide range of spatial, spectral, radiometric and temporal resolutions. This study presents a comparative study of the three fusion methods based on Improved Additive Wavelet (IAW), Intensity-Hue Saturation (IHS) and High Pass Filtering (HPF). The fusion results for each method is collected and evaluated, both visually and objectively. Experimental results prove that the additive wavelet method outperforms the other two methods in terms of quality measures such as the universal image quality index, spectral angle mapper, Erreur relative globale adimensionnellede synthese and correlation.