Removal of scalloping in ScanSAR images using Kalman filter

A novel technique for removal of scalloping in ScanSAR images is proposed. Scalloping artifact is modeled by gain and offset parameters exhibiting periodic variations as function of azimuth time. In proposed technique, Kalman filter is used to find minimum mean square error estimates of gain and offset parameters are found out for each azimuth position in a sub-swath. The range samples at a certain azimuth position are considered as observations for the parameters estimation. The estimated gain and offset are used to remove the scalloping artifacts from ScanSAR image. The proposed technique was applied on test images corrupted with scalloping artifacts and simulation results exhibited the potential of proposed technique to be used as postprocessing step in ScanSAR imaging.

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