A Non-Reference SAR Image Quality Assessment Method Based on Average Blurred Edge Width in Salient Area

The traditional synthetic aperture radar (SAR) image quality assessment (IQA) indexes are mainly proposed based on the statistical characteristics of point and area targets. However, these indexes are not combined with the principle of SAR imaging focusing, so there are often failures. In order to overcome the shortcomings of traditional IQA indexes, based on SAR imaging principles, this paper analyzes the impact of defocusing caused by mismatched filter on imaging results, and proposes a non-reference SAR IQA index based on average blurred edge width (ABEW) in salient area. The effectiveness of this method has been validated by using SAR images of real scenes, and the results are highly consistent with the actual image quality. The novel algorithm provides a new idea and method for IQA of SAR.