Peer-reviewed articles 17,970 +



Title: AN INSAR PHASE NOISE SUPPRESSION USING COHERENCE MAPS

AN INSAR PHASE NOISE SUPPRESSION USING COHERENCE MAPS
N. S. Vinogradova;A. V. Sosnovsky
1314-2704
English
18
2.3
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.
conference
18th International Multidisciplinary Scientific GeoConference SGEM 2018
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
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
19-24
02-08 July, 2018
website
cdrom
746
InSAR data processing; coherence maps; adaptive phase noise filters