Remote sensing image fusion based on edge-preserving filtering and structure tensor

The hyperspectral (HS) remote sensing image which contains abundant spectral information generally has low spatial resolution. While the panchromatic (PAN) remote sensing image has high spatial resolution. In order to fuse the HS and PAN remote sensing images, a new fusion algorithm based on edge-preserving filtering and structure tensor is proposed. First, to avoid low-frequency aliasing, an edge-preserving filter is introduced to extract the spatial information of the HS image. In order to sharpen the spatial information of the PAN image, an image enhancement approach is applied to the PAN image. Then, an adaptive weighting strategy which is based on the structure tensor is proposed to obtain the total spatial information. The presented adaptive weighting strategy which is different from the traditional fusion method reduces the spectral distortion and provides adequate spatial information. The injection matrix is finally constructed to reduce spectral and spatial distortion, and the fused image is generated by injecting the complete spatial information. Experimental results demonstrate that the proposed method provides more spatial information and preserves more spectral information compared with the state-of-art fusion methods. © 2018, Editorial Board of JBUAA. All right reserved.