Implementation Strategy to Minimise the Speckle Noise from Polarimetric Sar Data

Polarimetric Synthetic Aperture Radar (PolSAR) is an advanced imaging radar system which emits electromagnetic pulses and receives echo signals reflected by ground objects in order to obtain scattering characteristics of various objects on the earth surface. This paper helps in the study of scattering of corona molecules through splitting or sneezing. The data collected by a PolSAR is mostly affected by speckle noise. This speckle noise occurs due to the interaction between coherent signals returning from many scatters present on the earth surface. The presence of this speckle noise causes difficulties in interpretation and analysis during image processing. Hence the suppression of this speckle noise in SAR data is important for extraction of meaningful information for PolSAR images. This paper proposes minimization of speckle noise from PolSAR data by using a set of speckle filters such as boxcar, median, refined Lee and IDAN. The performance can be measured by calculating certain parameters such as mean square error(MSE), peak signal to noise ratio(PSNR), standard deviation to mean ratio (SD/M),edge preservation index (EPI) and equivalent number of looks(ENL).