Fusion Model and Method for High Resolution Optical Imagery Considering Spectral Characteristic

By analyzing spectral range and response of panchromatic and multi-spectral sensors, the shortages of several image fusion methods for the fusion of high resolution optical remote sensing imageries were discussed. Based-on the theoretical framework of image fusion, a novel fusion model was proposed considering spectral characteristic to deal with the hard problem, and a special method, combining fast intensity hue saturation (FIHS) and high pass (HP) fusion method using normalized difference vegetation index, was designed for the fusion of IKONOS panchromatic and multi-spectral image. Comparing the studied method with FIHS method, HP method and IHS method with local variation, the result shows that the former outperforms the others and that the studied fusion model has its superiority.