Fast Deghosting in Slowness-jittered Radon Domain

Efficient removal of the ghost is key to achieving broadband seismic data. Deghosting in radon domain is a effective method with the advantage of more accurate delay time and amplitude reserving in least square sense. In order to reach solving accuracy, more computational expense must be paid. We propose a pre-stack deghosting method based on L1-norm constraint inversion in slowness-jittered radon domain, which reduces the size of deghosting operator by jittered sampling along slowness to improving solving efficiency and suppress linear coherent noise caused by undersampling. Synthetic data shows great improvements in linear coherent noise suppressing over conventional least squares deghosting in radon domain with less computational cost.