DocumentCode :
1160078
Title :
Volume decorrelation effects in polarimetric SAR interferometry
Author :
Alberga, Vito
Author_Institution :
German Aerosp. Centre, Microwaves & Radar Inst., Wessling, Germany
Volume :
42
Issue :
11
fYear :
2004
Firstpage :
2467
Lastpage :
2478
Abstract :
Volume decorrelation is an aspect of synthetic aperture radar interferometry that is currently at stake. It stems from the distribution in height of the backscattering cross section in a imaged scene, and it widely affects interferometric coherence images, e.g., in the presence of forests or buildings. The interest in its reduction lies on the fact that "resolving" volume decorrelation and fixing the exact position of the scattering centers in a resolution cell may lead to an estimation of the height of the observed distributed scatterers. Indeed, the determination of the volume scattering contribution is determinant in digital elevation model generation as well as in biomass estimation. However, volume decorrelation itself may be a source of information on the mechanisms that originate it. In this paper, a distinction is made between the behavior of volume decorrelation due to random volumes and stationary distributed targets. The two cases are then studied by means of polarimetry: the response of such targets to different polarizations is considered by applying a series of decompositions of the scattering matrix, and a systematic analysis of the interferometric coherence characteristics is reported.
Keywords :
coherence; decorrelation; geophysical signal processing; radar cross-sections; radar polarimetry; radiowave interferometry; remote sensing by radar; synthetic aperture radar; terrain mapping; backscattering cross section; biomass estimation; buildings; digital elevation model; distributed scatterers; forests; height distribution; height estimation; interferometric coherence characteristics; interferometric coherence images; polarimetric SAR interferometry; radar polarimetry; random volumes; resolution cell; scattering center position; scattering matrix; synthetic aperture radar interferometry; target decomposition theorems; volume decorrelation effects; volume scattering contribution; Backscatter; Biomass; Decorrelation; Digital elevation models; Information resources; Layout; Polarimetry; Polarization; Radar scattering; Synthetic aperture radar interferometry; 65; Polarimetric synthetic aperture radar; SAR; interferometry; polarimetry; synthetic aperture radar; target decomposition theorems; volume decorrelation sources;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.837330
Filename :
1356060
Link To Document :
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