Windowed Fourier Transform for Noise Reduction of SAR Interferograms

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.

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE geoscience and remote sensing letters 2009-07, Vol.6 (3), p.418-422
Hauptverfasser:	Fattahi, H., Zoej, M.J.V., Mobasheri, M.R., Dehghani, M., Sahebi, M.R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Filters Fourier transforms Frequency Interferometric synthetic aperture radar (InSAR) Noise reduction Phase noise Signal analysis Signal processing spatial frequency analysis Synthetic aperture radar Synthetic aperture radar interferometry Wavelet analysis windowed Fourier transform (WFT)
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Beschreibung
Zusammenfassung:	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.
ISSN:	1545-598X 1558-0571
DOI:	10.1109/LGRS.2009.2015338