Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation

The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide area...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Andrea Monti-Guarnieri [verfasserIn] Marco Manzoni [verfasserIn] Davide Giudici [verfasserIn] Andrea Recchia [verfasserIn] Stefano Tebaldini [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	SAR focusing SAR interferometry decorrelation geosynchronous SAR Ground-Based Radar

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 12(2020), 16, p 2545
Übergeordnetes Werk:	volume:12 ; year:2020 ; number:16, p 2545

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs12162545

Katalog-ID:	DOAJ073888680

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allfields	10.3390/rs12162545 doi (DE-627)DOAJ073888680 (DE-599)DOAJ772a1739302f40faa17d2074644e1728 DE-627 ger DE-627 rakwb eng Andrea Monti-Guarnieri verfasserin aut Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide areas. The models that are mostly adopted in literature are critically reviewed, and aim to study decorrelation in a range of time (from hours to days), of interest for long-term SAR, such as ground-based or geosynchronous, or repeat-pass SAR interferometry. It is shown that none of them explicitly account for a decorrelation occurring in the short-term. An explanation is provided, and a novel temporal decorrelation model is proposed to account for that fast decorrelation. A formal method is developed to evaluate the performance of SAR focusing, and interferometry on a homogenous, stationary scene, in terms of Signal-to-Clutter Ratio (SCR), and interferometric coherence. Finally, an efficient implementation of an SAR simulator capable of handling the realistic case of heterogeneous decorrelation over a wide area is discussed. Examples are given by assuming two geostationary SAR missions in C and X band. SAR focusing SAR interferometry decorrelation geosynchronous SAR Ground-Based Radar Science Q Marco Manzoni verfasserin aut Davide Giudici verfasserin aut Andrea Recchia verfasserin aut Stefano Tebaldini verfasserin aut In Remote Sensing MDPI AG, 2009 12(2020), 16, p 2545 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:12 year:2020 number:16, p 2545 https://doi.org/10.3390/rs12162545 kostenfrei https://doaj.org/article/772a1739302f40faa17d2074644e1728 kostenfrei https://www.mdpi.com/2072-4292/12/16/2545 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 12 2020 16, p 2545
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allfieldsSound	10.3390/rs12162545 doi (DE-627)DOAJ073888680 (DE-599)DOAJ772a1739302f40faa17d2074644e1728 DE-627 ger DE-627 rakwb eng Andrea Monti-Guarnieri verfasserin aut Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide areas. The models that are mostly adopted in literature are critically reviewed, and aim to study decorrelation in a range of time (from hours to days), of interest for long-term SAR, such as ground-based or geosynchronous, or repeat-pass SAR interferometry. It is shown that none of them explicitly account for a decorrelation occurring in the short-term. An explanation is provided, and a novel temporal decorrelation model is proposed to account for that fast decorrelation. A formal method is developed to evaluate the performance of SAR focusing, and interferometry on a homogenous, stationary scene, in terms of Signal-to-Clutter Ratio (SCR), and interferometric coherence. Finally, an efficient implementation of an SAR simulator capable of handling the realistic case of heterogeneous decorrelation over a wide area is discussed. Examples are given by assuming two geostationary SAR missions in C and X band. SAR focusing SAR interferometry decorrelation geosynchronous SAR Ground-Based Radar Science Q Marco Manzoni verfasserin aut Davide Giudici verfasserin aut Andrea Recchia verfasserin aut Stefano Tebaldini verfasserin aut In Remote Sensing MDPI AG, 2009 12(2020), 16, p 2545 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:12 year:2020 number:16, p 2545 https://doi.org/10.3390/rs12162545 kostenfrei https://doaj.org/article/772a1739302f40faa17d2074644e1728 kostenfrei https://www.mdpi.com/2072-4292/12/16/2545 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 12 2020 16, p 2545
language	English
source	In Remote Sensing 12(2020), 16, p 2545 volume:12 year:2020 number:16, p 2545
sourceStr	In Remote Sensing 12(2020), 16, p 2545 volume:12 year:2020 number:16, p 2545
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	SAR focusing SAR interferometry decorrelation geosynchronous SAR Ground-Based Radar Science Q
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container_title	Remote Sensing
authorswithroles_txt_mv	Andrea Monti-Guarnieri @@aut@@ Marco Manzoni @@aut@@ Davide Giudici @@aut@@ Andrea Recchia @@aut@@ Stefano Tebaldini @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
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author	Andrea Monti-Guarnieri
spellingShingle	Andrea Monti-Guarnieri misc SAR focusing misc SAR interferometry misc decorrelation misc geosynchronous SAR misc Ground-Based Radar misc Science misc Q Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation
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topic_title	Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation SAR focusing SAR interferometry decorrelation geosynchronous SAR Ground-Based Radar
topic	misc SAR focusing misc SAR interferometry misc decorrelation misc geosynchronous SAR misc Ground-Based Radar misc Science misc Q
topic_unstemmed	misc SAR focusing misc SAR interferometry misc decorrelation misc geosynchronous SAR misc Ground-Based Radar misc Science misc Q
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title	Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation
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title_sort	vegetated target decorrelation in sar and interferometry: models, simulation, and performance evaluation
title_auth	Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation
abstract	The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide areas. The models that are mostly adopted in literature are critically reviewed, and aim to study decorrelation in a range of time (from hours to days), of interest for long-term SAR, such as ground-based or geosynchronous, or repeat-pass SAR interferometry. It is shown that none of them explicitly account for a decorrelation occurring in the short-term. An explanation is provided, and a novel temporal decorrelation model is proposed to account for that fast decorrelation. A formal method is developed to evaluate the performance of SAR focusing, and interferometry on a homogenous, stationary scene, in terms of Signal-to-Clutter Ratio (SCR), and interferometric coherence. Finally, an efficient implementation of an SAR simulator capable of handling the realistic case of heterogeneous decorrelation over a wide area is discussed. Examples are given by assuming two geostationary SAR missions in C and X band.
abstractGer	The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide areas. The models that are mostly adopted in literature are critically reviewed, and aim to study decorrelation in a range of time (from hours to days), of interest for long-term SAR, such as ground-based or geosynchronous, or repeat-pass SAR interferometry. It is shown that none of them explicitly account for a decorrelation occurring in the short-term. An explanation is provided, and a novel temporal decorrelation model is proposed to account for that fast decorrelation. A formal method is developed to evaluate the performance of SAR focusing, and interferometry on a homogenous, stationary scene, in terms of Signal-to-Clutter Ratio (SCR), and interferometric coherence. Finally, an efficient implementation of an SAR simulator capable of handling the realistic case of heterogeneous decorrelation over a wide area is discussed. Examples are given by assuming two geostationary SAR missions in C and X band.
abstract_unstemmed	The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide areas. The models that are mostly adopted in literature are critically reviewed, and aim to study decorrelation in a range of time (from hours to days), of interest for long-term SAR, such as ground-based or geosynchronous, or repeat-pass SAR interferometry. It is shown that none of them explicitly account for a decorrelation occurring in the short-term. An explanation is provided, and a novel temporal decorrelation model is proposed to account for that fast decorrelation. A formal method is developed to evaluate the performance of SAR focusing, and interferometry on a homogenous, stationary scene, in terms of Signal-to-Clutter Ratio (SCR), and interferometric coherence. Finally, an efficient implementation of an SAR simulator capable of handling the realistic case of heterogeneous decorrelation over a wide area is discussed. Examples are given by assuming two geostationary SAR missions in C and X band.
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title_short	Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation
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