Better multi-sensor image fusion method in remote sensing

We analyzed SFIM (smoothing filter-based intensity modulation) fusion technique proposed by Liu in 2000^[4] and came to forming the opinion that SFIM can be improved in two respects: (l) combining SFIM with IHS(intensity, hue, saturation) fusion technique; (2) smoothing filter different from that used by Liu^[4]. In this paper we explain in much detail how to combine the two multi-sensor image fusion techniques and also discuss in some detail the design of the smoothing filter - called by us the adaptively weighted mean filter - we propose. We performed simulation tests that fused multispectral images and panchromatic images with IHS, SFIM and our improved SFIM fusion techniques respectively. Simulation results show preliminarily that our improved SFIM method is better than IHS or SFIM method and can get excellent spatial resolution while preserving the spectral information of multispectral images.