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Publications about 'airborne L-band data'
Articles in journal or book chapters
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S. Zwieback and I. Hajnsek.
Statistical Tests for Symmetries in Polarimetric Scattering Coherency Matrices.
IEEE_J_GRSL,
11(1):308-312,
January 2014.
Keyword(s): airborne radar,
covariance matrices,
geophysical equipment,
geophysical techniques,
invariance,
radar polarimetry,
scattering,
statistical testing,
Freeman-Durden decomposition,
SAR polarimetry,
airborne L-band data,
covariance matrix,
likelihood-ratio testing,
mature rape field,
polarimetric scattering coherency matrix,
reflection invariance hypothesis,
reflection symmetry,
second-order statistics,
synthetic aperture radar polarimetry,
vegetation growth,
Parametric statistics,
polarimetric synthetic aperture radar,
radar remote sensing.
[bibtex-entry]
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Othmar Frey,
Felix Morsdorf,
and Erich Meier.
Tomographic Imaging of a Forested Area By Airborne Multi-Baseline P-Band SAR.
Sensors, Special Issue on Synthetic Aperture Radar,
8(9):5884-5896,
September 2008.
Keyword(s): SAR Processing,
SAR Tomography,
Tomographic Processing,
Multi-Baseline SAR,
Time-Domain Back-Projection,
Back-Projection,
E-SAR,
P-Band,
Forestry.
[Abstract]
[bibtex-entry]
Conference articles
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Fabrizio Lombardini and Andreas Reigber.
Adaptive spectral estimation for multibaseline SAR tomography with airborne L-band data.
In IEEE International Geoscience and Remote Sensing Symposium, IGARSS '03.,
volume 3,
pages 2014-2016,
2003.
Keyword(s): SAR Processing,
Tomography,
SAR Tomography,
Capon spectral estimator,
adaptive Capon spectral estimator,
spectral estimation,
multibaseline 3D SAR focusing,
multi-baseline SAR,
InSAR,
Multibaseline InSAR,
Forestry.
[Abstract]
[bibtex-entry]
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This collection of SAR literature is far from being complete. It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME
should NOT be mistaken for a complete bibliography of that author.
Last modified: Fri Feb 24 14:22:35 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
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