A New Objective Evaluation Index for Despeckled SAR Images

Synthetic aperture radar (SAR) images due to the usage of coherent imaging systems are affected by speckle. So lots of despeckling filters have been introduced up to now to suppress the speckle. Hence, objective and subjective evaluation of the denoised SAR images becomes a necessity. Thereby lots of objective evaluating estimators are introduced to evaluate the performance of despeckling filters. However, evaluating the SAR images, two main problems exist: 1) contradiction of objective and subjective evaluations and 2) absence of the ground-truth (noiseless) SAR image of the illuminated scene. So lots of efforts had been done to introduce precise referenceless estimators for SAR images which will be compatible with subjective evaluation and the results obtained by other estimators. In this paper we propose a new edge detector and also a new referenceless estimator called “Extended Ratio Edge Detector” and “ ” respectively. These algorithms are the extended version of “Ratio Edge Detector” and “ ” estimator. Experiments on images obtained from RADARSAT-1 dataset showed that the proposed edge detector and the estimator outperform their previous versions of algorithms as the proposed parameter subjectively reports up to 0.2 better results for images filtered with FANS filter in comparison with other used methods. This is also validated by and parameters, so it is reliable tool for objective evaluation of despeckled SAR images.