Detection of Double Scatterers in SAR Tomography

Pauciullo, Antonio; Reale, Diego; Maio, Antonio De; Fornaro, G.

doi:10.1109/tgrs.2012.2183002

Cited by 96 publications

(73 citation statements)

References 25 publications

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“…Beyond being it used here and in the sequel for an extensive analysis of the new Tomo-SAR results, this may be used for future automatic tomographic information extraction for the user level production of DEMs in complex urban/infrastructure areas. Another more complex detector scheme can be found [31]. In Fig.…”

Section: Real Spaceborne Data Resultsmentioning

confidence: 99%

Spaceborne 3-D SAR Tomography for Analyzing Garbled Urban Scenarios: Single-Look Superresolution Advances and Experiments

Lombardini

Cai

Pasculli

2013

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

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Synthetic Aperture Radar Tomography (Tomo-SAR) is an emerging experimental "coherent data combination" mode allowing unprecedented full 3-D imaging of complex urban and infrastructure scenarios with layover ("garbled") scatterers, exploiting multibaseline interferometric SAR data stacks. Various approaches have been proposed to improve Fourier-based Tomo-SAR elevation beamforming which is affected by unsatisfactory height sidelobe behaviour and resolution, due to the typical low number of baselines with irregular distribution. Among these approaches, height superresolution multilook beamforming techniques proved to posses interesting capabilities, at the cost of operation with reduced horizontal resolution. In this work, a recently proposed knowledge-based baseline interpolation and the Capon and MUSIC superresolution methods are integrated in to a new Tomo-SAR processor able to offer at a low computational burden height superresolution and sidelobe cleaning with single-look data, allowing full resolution operation, as important in urban and other man-made areas. Results are reported with real ERS data.Index Terms-Electromagnetic tomography, radar interferometry, spectral analysis, synthetic aperture radar, urban areas.

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Section: Real Spaceborne Data Resultsmentioning

confidence: 99%

Spaceborne 3-D SAR Tomography for Analyzing Garbled Urban Scenarios: Single-Look Superresolution Advances and Experiments

Lombardini

Cai

Pasculli

2013

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

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“…SAR tomography [3,4,5] has the potential to overcome this limitation. It has the ability to retrieve the elevation and deformation parameters for multiple scatterers in the same resolution cell, as shown in different contributions such as [6,7,8,9].…”

Section: Introductionmentioning

confidence: 99%

Towards the Integration of SAR Tomography and PSI for Improved Deformation Assessment in Urban Areas

Siddique¹,

Hajnsek²,

Wegmüller³

et al. 2015

Proceedings of Fringe 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop

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Persistent scatterer interferometry (PSI) typically rejects the range-azimuth pixels containing multiple scatterers, such as in a layover scenario. Since layovers occur frequently in urban areas, a significant number of candidates may get rejected. SAR tomography allows for resolving layover and has thus the potential to extend the spatial sampling of deformation measurements to layoveraffected areas. Using extended phase models, also taking into account temperature, an improved simultaneous estimation of elevation, deformation velocity, and temperature-induced scatterer displacement is possible. This paper explores the combined use of PSI and SAR tomography for deformation analysis in urban areas, using a multibaseline and multitemporal interferometric stack of stripmap TerraSAR-X images acquired over the city of Barcelona.

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“…In order to assess the performance of the proposed method with respect to other methods presented in the literature, a fair comparison consists in comparing Fast-Sup-GLRT with another CFAR approach. We consider the Sequential GLRT with Cancellation (SGLRTC) [28], which exhibits a computational complexity equivalent to Fast-Sup-GLRT. As already showed in [34] for the 3D case, SGLRTC is not able to super resolve, i.e., to separate scatterers closer than the system resolution.…”

Section: Resultsmentioning

confidence: 99%

“…This issue is of fundamental importance for the extension of the method to the four-dimensional (4D) case [15], where the estimation of the deformation velocity is added, or to the five-dimensional (5D) case, where the estimation of the thermal dilation is considered along with the deformation velocity [28]. Recently, in [34], an approximated version of Sup-GLRT, denoted Fast-Sup-GLRT, has been presented.…”

Section: Introductionmentioning

confidence: 99%

Extension of a Fast GLRT Algorithm to 5D SAR Tomography of Urban Areas

2017

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This paper analyzes a method for Synthetic Aperture Radar (SAR) Tomographic (TomoSAR) imaging, allowing the detection of multiple scatterers that can exhibit time deformation and thermal dilation by using a CFAR (Constant False Alarm Rate) approach. In the last decade, several methods for TomoSAR have been proposed. The objective of this paper is to present the results obtained on high resolution tomographic SAR data of urban areas, by using a statistical test for detecting multiple scatterers that takes into account phase variations due to possible deformations and/or thermal dilation. The test can be evaluated in terms of probability of detection (P D ) and probability of false alarm (P FA ), and is based on an approximation of a Generalized Likelihood Ratio Test (GLRT), denoted as Fast-Sup-GLRT. It was already applied and validated by the authors in the 3D case, while here it is extended and experimented in the 5D case. Numerical experiments on simulated and on StripMap TerraSAR-X (TSX) data have been carried out. The presented results show that the adopted method allows the detection of a large number of scatterers and the estimation of their position with a good accuracy, and that the consideration of the thermal dilation and surface deformation helps in recovering more single and double scatterers, with respect to the case in which these contributions are not taken into account. Moreover, the capability of method to provide reliable estimates of the deformations in urban structure suggests its use in structure stress monitoring.

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Detection of Double Scatterers in SAR Tomography

Cited by 96 publications

References 25 publications

Spaceborne 3-D SAR Tomography for Analyzing Garbled Urban Scenarios: Single-Look Superresolution Advances and Experiments

Spaceborne 3-D SAR Tomography for Analyzing Garbled Urban Scenarios: Single-Look Superresolution Advances and Experiments

Towards the Integration of SAR Tomography and PSI for Improved Deformation Assessment in Urban Areas

Extension of a Fast GLRT Algorithm to 5D SAR Tomography of Urban Areas

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