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- W2772314922 abstract "Interferogram filtering for noise reduction is a key to many radar interferometric applications. Repeat pass radar interferometry often uses data with less than ideal correlation levels resulting from either long spatial or temporal baselines or changes between observation leading to high levels of temporal correlation. To maximize the utility of such pairs filtering the interferogram to get maximal noise reduction if often needed. One technique that has proved quite useful in the geophysical community is power spectral or Goldstein-Werner filtering of the interferogram whereby a power weighted version of the Fourier transform is used to enhance fringe visibility [1]. Although this paper briefly touched upon the spatial resolution and noise reduction induced by the filter it did not provide a useful formula for predicting the expected amount of noise reduction. The purpose of this paper is to present a formula for the amount of noise reduction obtained from power spectral filtering albeit under the restriction of several simplifying assumptions to make the problem analytically tractable." @default.
- W2772314922 created "2017-12-22" @default.
- W2772314922 creator A5050851859 @default.
- W2772314922 date "2017-07-01" @default.
- W2772314922 modified "2023-09-30" @default.
- W2772314922 title "An analytic expression for the phase noise properties of the Goldstein-Werner power spectral filter" @default.
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- W2772314922 doi "https://doi.org/10.1109/igarss.2017.8127828" @default.
- W2772314922 hasPublicationYear "2017" @default.
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