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Publications about 'Chebyshev approximation'
Articles in journal or book chapters
-
K. Landmark,
A. H. Schistad Solberg,
F. Albregtsen,
A. Austeng,
and Roy E. Hansen.
A Radon-Transform-Based Image Noise Filter With Applications to Multibeam Bathymetry.
IEEE Transactions on Geoscience and Remote Sensing,
53(11):6252-6273,
November 2015.
 Keyword(s): Synthetic Aperture Sonar,
SAS,
Radon transforms,
bathymetry,
geophysical image processing,
image denoising,
image restoration,
radar imaging,
remote sensing by radar,
synthetic aperture radar,
Chebyshev approximation,
Laplacian point spread function,
denoised image,
fast discrete Radon transform,
geomorphological type statistical classification,
image transform,
invariant terrain features,
invertible edge detection operator,
linear-image-transform-based algorithm,
motion-induced errors,
motion-induced noise,
multibeam bathymetry,
original image,
processed test images,
radon-transform-based image noise filter,
remote sensing data,
second noise signature,
standard low-pass filters,
synthetic aperture radar images,
track line artifacts,
Approximation algorithms,
Image edge detection,
Noise,
Noise reduction,
Presses,
Radio frequency,
Transforms,
Discrete transforms,
image denoising,
image restoration,
iterative methods,
remote sensing,
sonar,
terrain mapping.
[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
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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 14:22:53 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
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