DENOISING TECHNIQUES FOR SYNTHETIC APERTURE RADAR DATA ? A REVIEW

Synthetic Aperture Radar (SAR) data have been increasingly gaining importance in the field of remote sensing applications due to its all weather, and day and night imaging capabilities. However, the images which are obtained after a series of complex signal processing operations on the received data, are affected by a grainy kind of noise, called speckle, which renders the data difficult for further interpretation and analysis. Thus, image denoising becomes an important and mandatory step in the SAR processing domain. A variety of denoising filters for SAR images have come up in the recent years. Wavelet based SAR data denoising techniques have also been gaining popularity due to its space-frequency localization capability and the capacity to analyse data at different scales. In this paper, we are making a comprehensive review of some of the well known filtering techniques for SAR data denoising.