A Modified Kalman-Filter Method For Scalloping Suppression With Gaofen-3 Sar Images

ScanSAR images are widely used in both military and civil fields with the capability of wide swath. However, the scalloping effect seriously affects the quality of scanSAR images, especially in the complex scenes, e.g. the sea-land junction scene. This paper presents a modified Kalman-filter method for scalloping suppression. First, the scanSAR image model is built, considering the scalloping effect and noise. Then, Kalman filter is adopted for suppressing the scalloping effect. Moreover, pre-processing method, on the basis of image statistical characteristics, is implemented to accommodate complex scene. Specifically, the pre-processing, involving image segmentation and brightness filling, divides the image into sub-images with different brightness and provides linear-Gaussian condition for Kalman filter through brightness filling. Finally, the method is verified by GaoFen-3(GF-3) SAR images, with the discussion and conclusion.