Image Fusion of San Francisco Bay SAR images based on ADWT with optimization technique

Abstract

It is very well-known fact that the monitoring of the Earth is very essential in now a day. Especially remote sensing is having highest priority for monitoring process. In this regard SAR (Synthetic Aperture Radar) sensor images are most preferable than optical sensor due to its capturing capability in any kind of weather conditions. Image fusion is the power tool to extract the required information from two or more images. In this paper two SAR multitemporal images have been chosen to perform the fusion. A novel technique ADWT is proposing to perform the image fusion by selecting filter coefficients through optimization process.Initially DWT is performed with multiple wavelets (Daubechies, symlet) and it is compared with ADWT (DWT with optimized filter coefficients with BAT optimization algorithm). Finally, the results are compared in terms PSNR and MSE.