Comparison of data fusion techniques for 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 high spatial resolution ratio. In this paper, our study is to carry out image fusion research by using the panchromatic and multi-spectral channels of Beijing-1 Micro-Satellite. We perform the traditional methods, including IHS, Brovey, Gram-Schmidt, Wavelet, IHS-Wavelet, PCA-Wavelet, and high pass filter methods. We also use PANSHARP module. In addition, we propose a new approach based on PANSHARP module to merge Beijing-1 images. Finally, we make comparative analysis from both visual effect and quantization parameters. The results show that our proposed method can achieve better performance in combining and preserving spectral-spatial information for the test images.