Spatial frequency discrete wavelet transform image fusion technique for remote sensing applications

In Remote Sensing, fusion of Panchromatic (PAN) image and Multispectral (MS) image is an important technique. This paper incorporates a multiresolution image fusion algorithm based on the proposed Spatial Frequency DWT (SFDWT - Spatial Frequency Discrete Wavelet Transform) technique. In SFDWT technique, the low resolution MS image is resampled to the high resolution PAN image and fusion is done by injecting the spectral and spatial information's present in PAN and MS images onto each other using their corresponding DWT coefficients by evaluating the spatial frequency (SF - Spatial Frequency). Evaluation is carried out using Pleiades Satellite images having a resolution ratio of 1:4. Fusion simulation is done in which pan sharpened reference images are available, indicate that the proposed SFDWT technique performs better than standard DWT methods and the IHS method in terms of different evaluation indexes including Structural similarity measure (SSIM), Errur Relative Globale Adimensionnelle de Synthese (ERGAS) etc. SFDWT produces high spectral and spatial quality fused images for remote sensing applications. (C) 2019 Karabuk University. Publishing services by Elsevier B.V.