Paper Details

Synthetic Aperture Radar (SAR) images are significant application of optical satellite images due to its abilityto work in any weather situations. This has applications in ecology, geology, agriculture, hydrology, oceanography andmilitary so on. With enhancement of SAR technology, resolution of images has increased. These images are corrupted bya strong noise, known as Speckle noise. This noise reduces overall quality of image. So it is necessary to erase specklenoise and preserve all features in SAR images with suitable strategy. In this paper, we proposed a new hybrid techniquethat combines Wavelet based demonizing and anisotropic diffusion filter, both these techniques provides better filteringcapability and enhances edges. By applying these techniques the efficiency of system is increased and noise is reduced tothe greater extent. To Remove the Speckle Noise efficiently a New hybrid technique is developed using Wavelet basedanisotropic filter which works efficiently and removes the full removal of Speckle and preserve the edges up to greaterextent. The Results are evaluated in terms of statistical parameters and compared with existing algorithm. Theperformance is evaluated in terms of COC, ENL and PSNR, the proposed hybrid approach provide fully demonizedimages when compared with existing model.

Nisha Devi, Shivi Sharma, “Synthetic Aperture Radar (SAR) Image Processing using Hybrid Enhanced Lee Filter with Discrete Wavelet Transform”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 9, pp. 150-157, September 2016.