Polarimetric temporal information for urban deformation map retrieval

Pipia, Luca; Fábregas, X.; Aguasca, A.; López-Martínez, Carlos; Mallorquí, J.J.; Moraline, O.

doi:10.1109/igarss.2007.4422762

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…The structures of both buildings are clearly depicted in Figure 6. They correspond to two structures within a test site, where ground-based SAR (GB-SAR) measurements were carried out by UPC [33,34]. This has provided accurate ground-truth about building structure as well as external elements that may interfere.…”

Section: Modeling Urban Responsesmentioning

confidence: 99%

Scattering‐Based Model of the SAR Signatures of Complex Targets for Classification Applications

Margarit

Mallorquí

2008

International Journal of Navigation and Observation

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The modeling of complex target response in SAR imagery is the main subject of this paper. The analysis of a large database of SAR images with polarimetric and interferometric capabilities is used to accurately establish how the different structural parts of targets interact with the incident signal. This allows to relate the reflectivity information provided by SAR images with specific geometries and to fix variation reflectivity patterns in terms of different imaging parameters such as image resolution, incidence angle, or operating frequency. Most of the used images have been obtained from the SAR simulator of complex targets developed at UPC, which is able to generate realistic data for a wide range of observation and environmental conditions. The result is a precise scattering-based SAR model that opens the door, among others, to an alternative way for reliable geometry retrieval. Under this approach, a novel SAR classification method for ships has been proposed. The preliminary evaluation in simulated scenarios shows a notable classification capability even under strong clutter and ship motion conditions. Due to these promising results, the same methodology is intended to be applied to urban areas. Concerns about possible model limitations and required improvements are preliminarily treated.

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Section: Modeling Urban Responsesmentioning

confidence: 99%

Scattering‐Based Model of the SAR Signatures of Complex Targets for Classification Applications

Margarit

Mallorquí

2008

International Journal of Navigation and Observation

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Ground-Based Polarimetric SAR Interferometry for the Monitoring of Terrain Displacement Phenomena–Part I: Theoretical Description

Iglesias

Aguasca

Fábregas

et al. 2014

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Ground-based synthetic aperture radar (SAR) 7 (GB-SAR) sensors represent an effective solution for the monitor-8 ing of ground displacement episodes. Initially, the most GB-SAR 9 sensors were based on vector network analyzers (VNA). This type 10 of solution, characterized by a slow scanning time comparable 11 to the decorrelation of the troposphere medium, compromised 12 in many cases the quality of final products for the application 13 of persistent scatterer interferomerty (PSI) techniques. The 14 development of GB-SAR sensors based on the use of stepped 15 linear frequency modulated continuous wave (SLFMCW) signals 16 has led to significant improvements during the last years. They 17 have allowed fulfilling the need of temporal homogeneity of the 18 troposphere during the acquisition time and, moreover, they have 19 favored the acquisition of reliable polarimetric SAR (PolSAR) 20 measurements without drastically increasing the scanning time. 21 This fact has boosted the inclusion of polarimetric SAR interfer-22 ometry (PolInSAR) algorithms in PSI processing chains, which 23 are demonstrating to outperform classical single-polarimetric 24 performances. The objective of this paper is twofold. On the one 25 hand, a general overview of the polarimetric RiskSAR sensor, 26 developed by the Universitat Politècnica de Catalunya (UPC), is 27 put forward as an example of SLFMCW GB-SAR system imple-28 mentation. On the other hand, a complete theoretical description 29 of ground-based SAR (GB-SAR) interferometry (GB-InSAR) 30 techniques for PSI purposes is widely discussed. The adaptation of 31 the Coherent Pixels Technique to obtain the linear and nonlinear 32 components of ground displacement phenomena is proposed. In 33 the second part of this paper, the displacement maps and time 34 series over two very different scenarios are presented in order to 35 show the feasibility of GB-SAR sensors for terrain displacement 36 monitoring applications. 37 Index Terms-Differential synthetic aperture radar (SAR) 38 interferometry (DInSAR), frequency modulated continuous wave 39 (FMCW) radar, GB-SAR interferometry (GB-InSAR), ground-40 based SAR (GB-SAR), persistent scatterer interferomerty (PSI), 41 polarimetric SAR interferometry (PolInSAR), stepped linear 42 FMCW (SLFMCW) radar.

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Polarimetric Analysis of Natural Terrain Observed With a Ku-Band Terrestrial Radar

Baffelli

Frey

Hajnsek

2019

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Polarimetric temporal information for urban deformation map retrieval

Cited by 4 publications

References 4 publications

Scattering‐Based Model of the SAR Signatures of Complex Targets for Classification Applications

Scattering‐Based Model of the SAR Signatures of Complex Targets for Classification Applications

Ground-Based Polarimetric SAR Interferometry for the Monitoring of Terrain Displacement Phenomena–Part I: Theoretical Description

Polarimetric Analysis of Natural Terrain Observed With a Ku-Band Terrestrial Radar

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