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AN INSAR PHASE NOISE SUPPRESSION USING COHERENCE MAPS
Abstract
Interferometric data processing (InSAR) for extraction of information about the Earth terrain and its changes is one of the general guidelines in development of contemporary space-based radar systems. The InSAR processing for building the digital elevation models (DEM) and terrain displacement maps includes a phase noise suppression step, which is usually performed by adaptive spectral filers (Goldstein filter). Such filters need an interferometric coherence value as a parameter, and a method of coherence estimation may affect the quality of the resulting DEM. For ALOS PALSAR data, different coherence estimation techniques (classical, Fourier, slope compensation etc.) were researched as an adaptive filter parameter. The filtered and unwrapped interferograms were compared with the ground control data reprojected into the radar coordinate system. It is shown, that coherence estimation method affects the quality of the phase noise suppression, and the Fourier estimate shows the better results in a Goldstein filtration.
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References12
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