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Windowed Fourier Transform for Noise Reduction of SAR Interferograms

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5 Author(s)
Heresh Fattahi ; Remote Sensing Dept., K.N. Toosi Univ. of Technol., Tehran ; Mohammad Javad Valadan Zoej ; Mohammad Reza Mobasheri ; Maryam Dehghani
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In this letter, since these methods are able to process signals locally, two spatial frequency analyses including windowed Fourier transform and wavelet transform are used to reduce synthetic aperture radar interferometric phase noise.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:6 ,  Issue: 3 )