Remote sensing image fusion using Hausdorff fractal dimension in shearlet domain

Abstract

Preservation of spectral information and enhancement of spatial resolution is the most important issue in remote sensing image fusion. In this paper, a new remote sensing satellite image fusion method using shearlet transform (ST) with Hausdorff fractal dimension(HFD) estimation method is proposed. Firstly, ST is used in each high-spatial-resolution panchromatic (PAN) image and multi-spectral image (MS). Then, the low frequency sub-band coefficients from different images are combined according to the HFD method which estimates and selects the modified low-pass band automatically. The composition of different high-pass sub-band coefficients achieved by the ST decomposition is discussed in detail. Finally, we achieve fusion results from the inverse transformation of ST. Experimental results show that the proposed method outperforms many state-of-the-art techniques in both subjective and objective evaluation measures.