BACK TO INDEX BACK TO OTHMAR FREY'S HOMEPAGE
Publications about 'anisotropic analysis'
Conference articles
-
O. Ponce,
P. Prats,
R. Scheiber,
A. Reigber,
and A. Moreira.
Analysis and optimization of multi-circular SAR for fully polarimetric holographic tomography over forested areas.
In Proc. IEEE Int. Geoscience and Remote Sensing Symp. - IGARSS,
pages 2365-2368,
July 2013.
Keyword(s): geophysical image processing,
holography,
radar imaging,
radar polarimetry,
synthetic aperture radar,
vegetation,
3D resolution,
DLR F-SAR sensor,
GLRT algorithm,
Germany,
IRF,
Kauf-beuren,
L-band,
acquisition geometry,
anisotropic analysis,
forested areas,
fully polarimetric holographic tomography,
generalized likelihood ratio test,
holographic SAR tomograms,
impulse response function,
incoherent imaging,
multicircular SAR analysis,
multicircular SAR optimization,
polarimetric MCSAR campaign,
scatterers,
sidelobe suppression,
system bandwidth,
Apertures,
Bandwidth,
Geometry,
Image resolution,
Imaging,
Synthetic aperture radar,
Anisotropy,
compressive sensing (CS),
fast factorized back-projection (FFBP),
holographic tomography,
multi-circular synthetic aperture radar (MCSAR),
polarimetric synthetic aperture radar (PolSAR).
[bibtex-entry]
BACK TO INDEX BACK TO OTHMAR FREY'S HOMEPAGE
Disclaimer:
Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to
adhere to the terms and constraints invoked by each author's copyright.
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 14:22:38 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
This document was translated from BibTEX by
bibtex2html
|