Processing method of marine radar image based on wavelet transform

Marine radar image often has a lot of noise signal, the noise ratio of the radar image is very low. So a method based on a combination of wavelet transform, K-distributed sea clutter threshold segmentation and most of the interpolation repair method is presented in this paper, which can deal with the same frequency noise of marine radar image. This paper comes up with use wavelet transform to determine potential radar image noise level, then by adopting the method of threshold segmentation technique for marine radar information on the potential position detection of same frequency noise, to repair most of the interpolation method is used to deal with noise in the radar image. Finally, the marine radar image is gotten after de-noising. Through the comparative analysis of the signal to noise ratio, it is proved that this method can get better de-noising effect.