AN improved fusion method for pan-sharpening Beijing-1 Micro-Satellite images

Many image fusion techniques have been proposed so as to achieve optimal resolution in the spatial and spectral domains. The Beijing-1 Micro-Satellite images have their own unique characteristics. The resolution ratio of its multi-spectral image to panchromatic image exceeds 4:1. It is often a challenge to pan-sharpen images with such a large spatial resolution ratio. In this paper, we develop an improved fusion method based on IHS, wavelet transform and regional features to merge the panchromatic and multi-spectral images of Beijing-1 Micro-Satellite. In addition, a comparative analysis from both visual effect and quantization parameters is carried out against other existing strategies. The results show that our proposed method can achieve better performance in combining and preserving spectral-spatial information for the Beijing-1 Micro-Satellite test images.