Published Paper Details:

The article presents a study based on the various performance metrics and compares the most frequently filtering techniques used for the purpose of removal of salt and paper type noise from SAR image. Since Synthetic Aperture Radar (SAR) imaging system has certain advantages over optical satellite imaging system so it is widely used in applications like oceanography, flood mapping, resource management, agriculture, surface deformation and etc. The main concern of analyzing the SAR images is the presence of speckle in the image under study due to the interference of dephased back scattered radiations. The unwanted information corrupt the quality of SAR images and thus formulate the observation and analysis of vital information difficult which is present in the SAR image. Therefore many filtering techniques or denoising techniques have been invented to reduce or remove the amount of speckle present in the SAR images. This paper presents the study based on various spatial as well as frequency domain filters developed so far alongwith commonly used qualitative parameters like MSE, PSNR, ENL, Speckle Suppression Index and etc used to analyze the SAR imagery.