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Publications about 'different techniques'
Articles in journal or book chapters
BACK TO INDEX BACK TO OTHMAR FREY'S HOMEPAGE
Francesco De Zan,
and Richard Bamler.
Efficient Phase Estimation for Interferogram Stacks.
IEEE Transactions on Geoscience and Remote Sensing,
Keyword(s): maximum likelihood estimation,
remote sensing by radar,
synthetic aperture radar,
efficient phase estimation,
short baseline subset,
different analysis approaches,
computational estimation efficiency,
efficient processing scheme,
Time series analysis,
Maximum likelihood estimation,
Synthetic aperture radar,
differential interferometric synthetic aperture radar,
distributed scatterers (DS),
near real-time (NRT) processing.
Roy E. Hansen,
A. P. Lyons,
T. O. S�b�,
H. J. Callow,
and D. A. Cook.
The Effect of Internal Wave-Related Features on Synthetic Aperture Sonar.
IEEE Journal of Oceanic Engineering,
Keyword(s): Synthetic Aperture Sonar,
autonomous underwater vehicles,
synthetic aperture sonar,
Centre for Maritime Research and Experimentation,
Elba Island Italy,
HUGIN autonomous underwater vehicle,
La Spezia Italy,
NATO research vessel,
Norwegian Defence Research Establishment,
acoustical ray model,
interferometric synthetic aperture sonar,
internal wave-related feature effect,
moving target analysis,
repeat pass imaging,
Synthetic aperture sonar,
synthetic aperture sonar.
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
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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: Mon Feb 1 16:39:34 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
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