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

Iglesias, Rubén; Aguasca, A.; Fábregas, X.; Mallorquí, J.J.; Monells, Dani; López-Martínez, Carlos; Pipia, Luca

doi:10.1109/jstars.2014.2360040

Cited by 37 publications

(29 citation statements)

References 52 publications

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“…where ϕ defo is the phase component related to the deformation, ϕ atm is the phase component due to the atmospheric effects during image acquisitions, and ϕ noi is the noise term [16,17]. For every point in 3D space and for every moment in time, the electromagnetic properties concerning radio wave propagation are governed by the dimensionless reflectivity N → r , t .…”

Section: Methods Principlementioning

confidence: 99%

A Compensation Method for a Time–Space Variant Atmospheric Phase Applied to Time-Series GB-SAR Images

Deng

Tian

et al. 2019

Remote Sensing

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An atmospheric effect is a main error source that affects interferometric measurements. When a ground-based multiple-input multiple-output (GB-MIMO) radar, i.e., a specific type of GBsynthetic aperture radar (GB-SAR), was utilized to continuously monitor an open-pit mine, the interferometric phases of some interferograms were complexly space-variant due to time-variant weather conditions. The conventional method of atmospheric phase (AP) compensation was no longer applicable. This paper proposes an improved compensation method of a time-space variant AP applied to time-series GB-SAR images. The permanent scatterers (PSs) were classified into three types based on their different spatial properties: The noise-dominant PS (NPS), the deformationdominant PS (DPS), and the atmospheric effect-dominant PS (APS). The NPSs were firstly rejected based on the differential phase analysis of neighboring PSs. The DPSs were then rejected based on the cluster partition and selection. With the APSs, the space-variant AP was estimated with a spatial interpolation. To validate the feasibility of the proposed method, short-term and long-term experimental datasets were processed. Comparisons with a conventional method proved that the proposed method can well reduce AP errors and avoid the misunderstanding of motional areas.

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Section: Methods Principlementioning

confidence: 99%

A Compensation Method for a Time–Space Variant Atmospheric Phase Applied to Time-Series GB-SAR Images

Deng

Tian

et al. 2019

Remote Sensing

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“…A broadband polarimetric SAR system with two dimensional aperture synthesis is introduced in [34], with measurement results presented in [35]. Another example of a synthetic aperture system is described in [25], [26], [36], [36]- [38]. Examples of ground-based polarimetric SAR data at X and C band are shown in [24], [39].…”

Section: A State Of the Artmentioning

confidence: 99%

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Baffelli

Frey

Werner

et al. 2018

IEEE Trans. Geosci. Remote Sensing

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Abstract-Differential interferometry using groundbased radar systems permits to monitor displacements in natural terrain with high flexibility in location, time of acquisition and revisit time. In combination with polarimetric imaging, discrimination of different scattering mechanisms present in a resolution cell can be obtained simultaneously with the estimation of surface displacement. In this paper we present the pre-processing steps and the calibration procedure required to produce high-quality calibrated polarimetric single-look complex imagery with KAPRI, a new portable Ku-band polarimetric radar interferometer. The processing of KAPRI data into SLC images is addressed, including the correction of beam squint and of azimuthal phase variations. A polarimetric calibration model adapted to the acquisition mode is presented and used to produce calibrated polarimetric covariance matrix data. The methods are validated by means of a scene containing five trihedral corner reflectors. Data pre-processing is assessed by analyzing the oversampled response of a corner reflector and the polarimetric calibration quality is verified by computing polarimetric signatures and residual calibration parameters.

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“…Microwave interferometers employ the stepped frequency continuous wave (SFCW) [9] or the frequency modulated continuous wave (FMCW) [10] principle in order ro achieve the range resolution, which can be expressed in dependency of the bandwidth B of the transmitted wave and of the speed of light c according to equation 4. Assuming the maximum bandwidth of 200 MHz allowed by the German Federal Network Agency, the corresponding range resolution r is determined to be 0.75 m.…”

Section: Microwave Interferometrymentioning

confidence: 99%

Microwave Interferometry Measurements for Railway-Specific Applications

Firus¹,

Schneider²,

Becker³

et al. 2017

Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Abstract. The microwave interferometry is a rather new measurement method, whose functioning principle allows the non-contact synchronous acquisition of structural displacements for several points along a structure, with accuracy in sub-millimetre range at a sampling rate of up to 4 kHz. Due to the high sampling rate, the acquisition of dynamic responses is also possible. Hence, main modal structural parameters such as natural frequencies and damping ratios can be straightforwardly identified. Furthermore, the synchronous measurement of several points along the targeted object, achieved due to a range resolution of about 0.75 m, may allow the direct determination of modal shapes. Under consideration of its novel character and a lack of previous experience with respect to railway-specific tasks, the measurement method had to be subjected to a systematic and comprehensive validation process prior to a reliable implementation in everyday practice. The validation process included several parallel measurements and comparisons with conventional measurement techniques. Besides the direct verification of the quality of the results, it was used as well for defining boundary conditions and limitations of the measurement method with respect to railway-specific applications. As a result, an evaluation matrix was created, which illustrates the applicability of the microwave interferometry for different types of structures. This paper gives a brief introduction of the microwave interferometry and presents some aspects and selected results of the validation process, which was performed within a cooperation project between the TU Darmstadt (Germany) and the German Railways (Deutsche Bahn AG).

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

Cited by 37 publications

References 52 publications

A Compensation Method for a Time–Space Variant Atmospheric Phase Applied to Time-Series GB-SAR Images

A Compensation Method for a Time–Space Variant Atmospheric Phase Applied to Time-Series GB-SAR Images

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Microwave Interferometry Measurements for Railway-Specific Applications

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