Bilateral pyramid based pansharpening of multispectral satellite images

A new fusion method based on bilateral pyramid for multispectral and panchromatic images is presented. The fused image is obtained by two different rules: substitutive and additive methods. Bilateral pyramid is a multiscale decomposition method which decomposes an input image into a base layer representing the low frequency content and several detail layers representing the high frequency part of the image. In substitutive method, both MS and PAN images are decomposed using bilateral pyramid. The detail layers of the PAN image are added to the base layer of the MS image. In additive method, the detail layers of the PAN image are directly added to the MS image. The proposed method is compared with the widely used IHS (intensity-hue-saturation), ATWT substitutive and ATWT additive fusion methods. The resulting images as well as evaluation metrics demonstrate that the proposed algorithm has better performance.

[1]  Andrea Garzelli,et al.  Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis , 2002, IEEE Trans. Geosci. Remote. Sens..

[2]  Yaonan Wang,et al.  Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images , 2002, Inf. Fusion.

[3]  Christine Pohl,et al.  Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .

[4]  Xavier Otazu,et al.  Multiresolution-based image fusion with additive wavelet decomposition , 1999, IEEE Trans. Geosci. Remote. Sens..

[5]  L. Wald,et al.  Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images , 1997 .

[6]  Jocelyn Chanussot,et al.  Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[7]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[8]  P. Chavez,et al.  Extracting spectral contrast in landsat thematic mapper image data using selective principal component analysis , 1989 .

[9]  Te-Ming Tu,et al.  A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery , 2004, IEEE Geoscience and Remote Sensing Letters.

[10]  Rafael García,et al.  Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Shutao Li,et al.  The multiscale directional bilateral filter and its application to multisensor image fusion , 2012, Inf. Fusion.