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Title: SPECTRAL ALGORITHMS EFFICIENCY FOR INSAR PHASE NOISE SUPPRESSION
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SPECTRAL ALGORITHMS EFFICIENCY FOR INSAR PHASE NOISE SUPPRESSION
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1314-2704
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English
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19
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2.2
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Interferometric data processing (InSAR) for extraction of information about the Earth terrain heights 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 different image filters, as well as spectral and adaptive spectral filters (mean/boxcar, spectral domain filtration with different window functions, Wiener, Goldstein, etc.), and an analysis of filtration algorithms efficiency is one of important issues of InSAR processing. For ALOS PALSAR data, different phase noise filters were researched, and the processing results were compared with the ground control data reprojected into the radar coordinate system. It is shown, that the gaussian spectral filter with some definite parameters shows the best results in the phase noise suppression, and a dependence of filter parameters on interferogram spectral characteristics was obtained.
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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633-638
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30 June - 6 July, 2019
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website
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cdrom
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5542
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InSAR data processing; coherence maps; adaptive phase noise filters
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