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Title: Phase noise suppression in interferometric radar data using goldstein noise filtration
Authors: Sosnovsky, A. V.
Vinogradova, N. S.
Issue Date: 2020
Publisher: American Institute of Physics Inc.
Citation: Sosnovsky A. V. Phase noise suppression in interferometric radar data using goldstein noise filtration / A. V. Sosnovsky, N. S. Vinogradova. — DOI 10.1063/5.0027278 // AIP Conference Proceedings. — 2020. — Vol. 2293. — 140023.
Abstract: The article is devoted the coherence maps utilization for the phase noise filtration using the Goldstein filter for interferometric synthesized aperture radar (InSAR) images. For the ALOS PALSAR data (FBS imaging mode), four coherence estimation techniques (classical, difference slope compensation, Fourier slope compensation, and «peak-Fourier») were researched as the Goldstein filter parameter. The filtered interferograms were compared with the reference ground control points reprojected into the radar coordinate system. It is shown that the coherence estimation method affects the quality of the phase noise suppression. © 2020 American Institute of Physics Inc.. All rights reserved.
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85097979994
PURE ID: 20389815
ISSN: 0094243X
ISBN: 9780735440258
DOI: 10.1063/5.0027278
metadata.dc.description.sponsorship: This work was supported by the Center of Excellence "Geoinformation technologies and geophysical data complex interpretation" of the Ural Federal University Program (Act 211 Government of the Russian Federation, contract N 02.A03.21.0006).
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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