A Novel SAR Image Despeckling Method Based on Local Filter With Nonlocal Preprocessing

Owing to the characteristics of long distance and strong penetration, a synthetic aperture radar (SAR) imaging system could provide ground information with high resolution under poor climate environment. Nevertheless, speckle is still common interference output that deteriorates content SAR images further affects recognition real objects. In this article, new suppression method proposed from perspective exploring nonlocal local image features. Considering statistical distribution images, novel filter termed SAR-orientated guided bilateral characterize range spatial similarity images. Meanwhile, an optimized based on weight Schatten- $p$ norm introduced self-similarity by low-rank model. As preprocessing step, it yields filtering features as guidance SAR-oriented filter. By incorporating feature into filter, structured achieve desirable despeckling results. Extensive experiments demonstrate outperforms several state-of-the-art methods in terms both visual satisfaction quantitative metrics.