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Publications about 'satellite missions'
Thesis
-
S. Samie Esfahany.
Exploitation of distributed scatterers in synthetic aperture radar interferometry.
PhD thesis,
TUDelft,
2017.
[Abstract]
[bibtex-entry]
Articles in journal or book chapters
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Nan Ge and Xiao Xiang Zhu.
Bistatic-Like Differential SAR Tomography.
IEEE Trans. Geosci. Remote Sens.,
pp 1-11,
2019.
Keyword(s): Synthetic aperture radar,
Strain,
Satellites,
Satellite broadcasting,
Spaceborne radar,
Decorrelation,
Tomography,
Synthetic aperture radar (SAR),
SAR tomography,
Tandem-L,
TerraSAR-X add-on for digital elevation measurements (TanDEM-X)..
[Abstract]
[bibtex-entry]
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Yu Morishita and Ramon F. Hanssen.
Deformation Parameter Estimation in Low Coherence Areas Using a Multisatellite InSAR Approach.
IEEE Trans. Geosci. Remote Sens.,
53(8):4275-4283,
August 2015.
Keyword(s): SAR Processing,
persistent scatterer interferometry,
PSI,
InSAR,
DInSAR,
Interferometry,
Differential Interferometry,
decorrelation,
deformation,
geophysical techniques,
least mean squares methods,
radar interferometry,
remote sensing by radar,
soil,
synthetic aperture radar,
time series,
The Netherlands,
drained peat soils,
least squares method,
local subsidence rates,
low coherence areas,
multisatellite InSAR,
pasture periodic signal,
peat periodic signal,
persistent scatterer interferometry,
satellite data,
small baseline subset algorithms,
statistically homogeneous pixels,
surface deformation parameter estimation,
Coherence,
Decorrelation,
Deformable models,
Estimation,
Satellites,
Soil,
Synthetic aperture radar,
Decorrelation,
radar interferometry,
synthetic aperture radar (SAR).
[Abstract]
[bibtex-entry]
-
Yu Morishita and Ramon F. Hanssen.
Temporal Decorrelation in L-, C-, and X-band Satellite Radar Interferometry for Pasture on Drained Peat Soils.
IEEE Trans. Geosci. Remote Sens.,
53(2):1096-1104,
February 2015.
Keyword(s): SAR Processing,
Decorrelation,
Temporal Decorrelation,
geophysical signal processing,
land use,
radar interferometry,
remote sensing by radar,
soil,
synthetic aperture radar,
terrain mapping,
vegetation,
vegetation mapping,
ALOS-2 satellite,
Advanced Land Observation Satellite mission,
C-band SAR observations,
C-band satellite radar interferometry,
Envisat mission,
European Remote Sensing Satellite mission,
L-band SAR observations,
L-band satellite radar interferometry,
RADARSAT-2 mission,
Sentinel-1 satellite,
TerraSAR-X mission,
X-band SAR observations,
X-band satellite radar interferometry,
a priori assessment,
actual land use,
climatological circumstances,
coherence estimation window sizes,
coherence levels,
coherent information,
coherent signal,
drained peat soils,
frequency function,
generic models,
interferograms,
interferometric applications,
nonurban areas,
optimal data sets,
pasture,
repeat intervals,
repeat orbits,
satellite missions,
soil types,
synthetic aperture radar interferometry,
temporal decorrelation model,
temporal dynamics,
vegetation types,
Coherence,
Decorrelation.
[Abstract]
[bibtex-entry]
-
G. Krieger,
Irena Hajnsek,
Konstantinos P. Papathanassiou,
M. Younis,
and A. Moreira.
Interferometric Synthetic Aperture Radar (SAR) Missions Employing Formation Flying.
Proceedings of the IEEE,
98(5):816-843,
May 2010.
Keyword(s): SAR Processing,
Tandem-L,
Tandem-X,
Formation Flying,
Spaceborne SAR,
SAR Tomography,
Tomography.
[Abstract]
[bibtex-entry]
-
Helmut Rott,
Simon H. Yueh,
Donlad W. Cline,
Claude Duguay,
Richard Essery,
Christian Haas,
Florence Heliere,
Michael Kern,
Giovanni Macelloni,
Eirik Malnes,
Thomas Nagler,
Jouni Pulliainen,
H. Rebhan,
and A. Thompson.
Cold Regions Hydrology High-Resolution Observatory for Snow and Cold Land Processes.
Proceedings of the IEEE,
98(5):752-765,
May 2010.
Keyword(s): glaciology,
ice,
remote sensing by radar,
sea ice,
snow,
synthetic aperture radar,
water,
climate models,
cold land processes,
cold regions hydrology high-resolution observatory satellite mission,
cryosphere,
frequency 17.2 GHz,
frequency 9.6 GHz,
glaciers,
global snow observations,
global water cycle,
lake ice,
land snow,
scattering signal decomposition,
sea ice,
synthetic aperture radar,
water cycle variability prediction,
Hydrology,
Ice surface,
Lakes,
Land surface,
Observatories,
Satellites,
Sea ice,
Sea surface,
Snow,
Water resources,
Climate research,
earth observation satellite,
glaciers,
snow cover,
synthetic aperture radar,
water resources.
[Abstract]
[bibtex-entry]
Conference articles
-
Andreas Wiesmann,
Charles L. Werner,
Tazio Strozzi,
Christian Matzler,
Thomas Nagler,
Helmut Rott,
Martin Schneebeli,
and Urs Wegmuller.
SnowScat, X- to Ku-Band Scatterometer Development.
In Proc. ESA Living Planet Symposium,
June 2010.
Keyword(s): SnowScat,
KuScat,
backscatter,
hydrological techniques,
radiometry,
remote sensing by radar,
snow,
spaceborne radar,
C-band SAR satellite systems,
ESA CoRe-H2O mission,
Ku-band scatterometer,
Swiss Alps,
X-band scatterometer,
backscatter information,
backscattering signal,
dry snow cover,
dual frequency radar,
frequency 18 GHz,
frequency 9 GHz,
mobile scatterometer,
snow coverage,
snow liquid water content,
snow structure,
spaceborne active microwave remote sensing,
Backscatter,
Frequency,
Ground support,
Radar measurements,
Remote sensing,
Satellites,
Signal generators,
Snow,
Spaceborne radar,
Water storage,
Scatterometer,
Snow,
backscatter,
snow grain.
[Abstract]
[bibtex-entry]
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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 14:24:50 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
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