Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry

The estimation of the local differential shift between synthetic aperture radar (SAR) images has proven to be an effective technique for monitoring glacier surface motion. As images acquired over glaciers by short wavelength SAR systems, such as TerraSAR-X, often suffer from a lack of coherence, ima...

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Main Authors: Villano, Michelangelo, Papathanassiou, Konstantinos P.
Format: Conference Object
Language:English
Published: ESA Communications 2011
Subjects:
Online Access:https://elib.dlr.de/69565/
https://elib.dlr.de/69565/1/Villano_Paper_POLINSAR2011_proceedings.pdf
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spelling ftdlr:oai:elib.dlr.de:69565 2024-05-19T07:40:43+00:00 Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry Villano, Michelangelo Papathanassiou, Konstantinos P. 2011-03 application/pdf https://elib.dlr.de/69565/ https://elib.dlr.de/69565/1/Villano_Paper_POLINSAR2011_proceedings.pdf en eng ESA Communications https://elib.dlr.de/69565/1/Villano_Paper_POLINSAR2011_proceedings.pdf Villano, Michelangelo und Papathanassiou, Konstantinos P. (2011) Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry. In: Proceedings of ESA POLinSAR Workshop. ESA Communications. ESA POLinSAR Workshop, 2011-01-24 - 2011-01-28, Frascati, Italy. Radarkonzepte Konferenzbeitrag PeerReviewed 2011 ftdlr 2024-04-25T00:20:14Z The estimation of the local differential shift between synthetic aperture radar (SAR) images has proven to be an effective technique for monitoring glacier surface motion. As images acquired over glaciers by short wavelength SAR systems, such as TerraSAR-X, often suffer from a lack of coherence, image features have to be exploited for the shift estimation (feature-tracking). The present paper addresses feature-tracking with special attention to the feasibility requirements and the achievable accuracy of the shift estimation. In particular, the dependence of the performance on image characteristics, such as texture parameters, signal-to-noise ratio (SNR) and resolution, as well as on processing techniques (despeckling, normalised cross-correlation versus maximum likelihood estimation) is analysed by means of Monte-Carlo simulations. TerraSAR-X data acquired over the Helheim glacier, Greenland, and the Aletsch glacier, Switzerland, have been processed to validate the simulation results. Feature-tracking can benefit of the availability of fully-polarimetric data. As some image characteristics, in fact, are polarisation-dependent, the selection of an optimum polarisation leads to improved performance. Furthermore, fully-polarimetric SAR images can be despeckled without degrading the resolution, so that additional (smaller-scale) features can be exploited. Conference Object glacier Greenland German Aerospace Center: elib - DLR electronic library
institution Open Polar
collection German Aerospace Center: elib - DLR electronic library
op_collection_id ftdlr
language English
topic Radarkonzepte
spellingShingle Radarkonzepte
Villano, Michelangelo
Papathanassiou, Konstantinos P.
Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry
topic_facet Radarkonzepte
description The estimation of the local differential shift between synthetic aperture radar (SAR) images has proven to be an effective technique for monitoring glacier surface motion. As images acquired over glaciers by short wavelength SAR systems, such as TerraSAR-X, often suffer from a lack of coherence, image features have to be exploited for the shift estimation (feature-tracking). The present paper addresses feature-tracking with special attention to the feasibility requirements and the achievable accuracy of the shift estimation. In particular, the dependence of the performance on image characteristics, such as texture parameters, signal-to-noise ratio (SNR) and resolution, as well as on processing techniques (despeckling, normalised cross-correlation versus maximum likelihood estimation) is analysed by means of Monte-Carlo simulations. TerraSAR-X data acquired over the Helheim glacier, Greenland, and the Aletsch glacier, Switzerland, have been processed to validate the simulation results. Feature-tracking can benefit of the availability of fully-polarimetric data. As some image characteristics, in fact, are polarisation-dependent, the selection of an optimum polarisation leads to improved performance. Furthermore, fully-polarimetric SAR images can be despeckled without degrading the resolution, so that additional (smaller-scale) features can be exploited.
format Conference Object
author Villano, Michelangelo
Papathanassiou, Konstantinos P.
author_facet Villano, Michelangelo
Papathanassiou, Konstantinos P.
author_sort Villano, Michelangelo
title Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry
title_short Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry
title_full Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry
title_fullStr Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry
title_full_unstemmed Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry
title_sort differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry
publisher ESA Communications
publishDate 2011
url https://elib.dlr.de/69565/
https://elib.dlr.de/69565/1/Villano_Paper_POLINSAR2011_proceedings.pdf
genre glacier
Greenland
genre_facet glacier
Greenland
op_relation https://elib.dlr.de/69565/1/Villano_Paper_POLINSAR2011_proceedings.pdf
Villano, Michelangelo und Papathanassiou, Konstantinos P. (2011) Differential shift estimation in the absence of coherence: performance analysis and benefits of polarimetry. In: Proceedings of ESA POLinSAR Workshop. ESA Communications. ESA POLinSAR Workshop, 2011-01-24 - 2011-01-28, Frascati, Italy.
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