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Publications about 'motion error estimation method'
Articles in journal or book chapters
-
Yake Li,
Chang Liu,
Yanfei Wang,
and Qi Wang.
A Robust Motion Error Estimation Method Based on Raw Data.
IEEE Trans. Geosci. Remote Sens.,
50(7):2780-2790,
2012.
Keyword(s): SAR Processing,
Autofocus,
SAR Autofocus,
MoComp,
Motion Compensation,
curve fitting,
geophysical image processing,
least squares approximations,
motion compensation,
radar imaging,
remote sensing by radar,
synthetic aperture radar,
RCMC,
aircraft reference track deviations,
curve fitting,
double phase gradient estimation,
filtering method,
high order motion errors,
high precision navigation system,
high resolution airborne SAR systems,
high resolution imagery,
image processing,
image quality,
large swath mode,
light aircraft SAR platform,
motion compensation,
motion error estimation method,
range cell migration correction,
range dependent phase errors,
range resolution improvement,
raw data,
synthetic aperture radar,
weighted total least square method,
Aircraft,
Azimuth,
Electronics packaging,
Error analysis,
Estimation,
Robustness,
Trajectory,
Autofocus,
motion error estimation,
phase gradient filtering,
synthetic aperture radar (SAR),
weighted total least square (WTLS) method.
[Abstract]
[bibtex-entry]
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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 14:24:06 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
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