Destriping Of Landsat Data Using Power Spectral Filtering

A new method of destriping Landsat data and compensating for failed detectors is presented. The basic spatial frequency composition of the degradation is determined from an easily computed one-dimensional power spectrum of the image. A convolutional restoration kernel is then created from a modified version of the power spectrum.