A comparative study for the assessment of Ikonos satellite image-fusion techniques

I<span>Image-fusion provide users with detailed information about the urban and rural environment, which is useful for applications such as planning management when higher spatial resolution images are not available. There different image fusion methods. This paper implements, evaluates, compares six satellite image-fusion methods, namely wavelet 2D-M transform, gram schmidt, high-frequency modulation, high pass filter (HPF) simple mean value, PCA. An Ikonos (Panchromatic-PAN multispectral-MULTI) showing northwest of Bogotá (Colombia) used to generate fused images</span>: MULTI<sub>Wavelet 2D-M</sub>, MULTI<sub>G-S</sub>, MULTI<sub>MHF</sub>, MULTI<sub>HPF</sub>, MULTI<sub>SMV</sub>, MULTI<sub>PCA</sub>. <span>In order assess efficiency resulting were evaluated in terms both quality spectral quality. To this end, four metrics applied, correlation index, erreur relative globale adimensionnelle de synthese (ERGAS), average error (RASE) Q index. The best results obtained </span> MULTI<sub>SMV</sub> image, exhibited than 0.85, a index 0.84, highest scores assessment according ERGAS RASE, 4.36% 17.39% respectively.