Sar Imge Enhancement Using Modified Inverse Filtering

In this paper, we propose a novel post processing method of deconvolution for SAR images by modifying inverse filtering, which improves spatial resolution as well as effectively eliminates sidelobes with low computational complexity. It extends the bandwidth only to control the magnitude of the processed SAR data, not affect the phase unlike the other techniques such as spatially variant apodization (SVA), and other deconvolution techniques. We compares the images from the originally uniformly weighted signal with Hamming weight whose coefficient is 0.75, SVA, and the modified inverse filter.