Abstract. Image fusion techniques are widely used to integrate a lower spatial resolution multispectral image with a higher spatial resolution panchromatic image, such as Thematic Mapper (TM) multispectral band and SPOT Panchromatic images. However, the existing techniques either cannot avoid dis-torting the image spectral properties or involve complicated and time-consuming frequency decomposition and re-construction processing. A simple spectral pre-serve fusion technique: the Smoothing Filter-based Intensity Modulation (SFIM) has thus been developed based on a simpli ed solar radiation and land surface re ection model. By using a ratio between a higher resolution image and its low pass ltered (with a smoothing lter) image, spatial details can be modulated to a co-registered lower resolution multispectral image without altering its spectral properties and contrast. The technique can be applied to improve spatial reso-lution for either colour composites or individual bands. The delity to spectral property and the spatial textural quality of SFIM are convincingly demonstrated by an image fusion experiment using TM and SPOT Panchromatic images of south-east Spain. The visual evaluation and statistical analysis compared with HSI and Brovey transform techniques con rmed that SFIM is a superior fusion technique for improving spatial detail of multispectral images with their spectral properties reliably preserved. 1.
Jian Guo Liu (2000) studied this question.