Experiments of interferometric layover solution with the three-antenna airborne AER-II SAR system

Lombard, F.; Ender, Joachim; RoBing, L.; Galletto, M.; Verrazzani, L.

doi:10.1109/igarss.2004.1370419

Cited by 17 publications

(26 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conversely, for the full 3-D imaging applications, alternatively to the generally unsatisfactory Fourier-based processing, a regularized inversion approach to Tomo-SAR (SVD) was developed in [17]. Moreover, in [18]- [20] an adaptive (Capon) and a model-based (MUSIC) beamforming/spatial spectral estimation techniques were proposed, providing height superresolution and sidelobe cleaning capabilities, at moderate computational burden. In particular, adaptive beamforming with spaceborne MB data has been tested in [15].…”

Section: Introductionmentioning

confidence: 98%

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

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 98%

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

View full text Add to dashboard Cite

show abstract

“…It also models the extended nature of the backscattering sources as multiplicative noise (Baselice, Budillon, et al 2009). However, for nearly all layover solution methods, multiplicative noise u m (l) is not estimated from the signal (Lombardini, Montanari, and Gini 2003;Schmitt and Stilla 2013;Lombardini et al 2007;Lombardini et al 2004), and the multi-look approach can only reduce multiplicative noise rather than eliminate it . Furthermore, when layover occurs in continuous terrain areas, the terrain is usually highly sloped and the sources are extended along the elevation, making the multiplicative noise significant.…”

Section: Traditional Layover Modelmentioning

confidence: 98%

3D surface reconstruction of layover areas in continuous terrain for multi-baseline SAR interferometry using a curve model

Zhang

Liang

et al. 2015

International Journal of Remote Sensing

View full text Add to dashboard Cite

It has become a field of intensive research to exploit multi-baseline synthetic aperture radar (SAR) to solve layover effects. However, the traditional layover model is not suitable for 3D surface reconstruction in the case of continuous layover terrain for two major reasons. First, the continuous terrain cannot be precisely described by the traditional layover model. Second, the traditional layover model is formalized for a single range-azimuth resolution cell and does not take full advantage of the relationship among the neighbouring scatterers, producing ragged reconstruction results with large terrain bias. In order to solve these problems, we establish a new curve model and propose a corresponding layover solution method. Rather than rebuilding the layover area in each independent range-azimuth resolution cell, this method reconstructs it as a whole. It exploits both the multi-baseline SAR signal and a priori information of the continuous terrain to achieve better performance. In the final part of this article, the proposed method is applied to 3D surface reconstruction using simulated data and Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) data in comparison with the traditional layover model-based solution method. It is found that the proposed method leads to considerable improvements with regard to accuracy and robustness.

show abstract

“…These are briefly reviewed in the sequel. In the field of MB XTI estimation of multiple components for layover solution, further work is necessary on the estimation and detection problem in presence of multiplicative noise and array miscalibration for the non-ULA case [74]. Extension of these studies to the challenging case of MB obtained by repeat passes is also important.…”

Section: Issues and Research Directionsmentioning

confidence: 98%

“…A limitation of Tomo-SAR is the typically irregular baseline sampling (NLA), which results in a distorted PSF of elevation imaging. After pioneering work employing Fourier-based imaging [90], research is currently active on regularized-inversion based methods [29], adaptive imaging methods [71,30,74], or on the use of interpolated arrays techniques [90,11].…”

Section: Issues and Research Directionsmentioning

confidence: 99%

Multibaseline cross-track SAR interferometry: a signal processing perspective

Gini

Lombardini

2005

IEEE Aerosp. Electron. Syst. Mag.

Self Cite

109

View full text Add to dashboard Cite

Synthetic aperture radar interferometry (InSAR) is a powerful and increasingly expanding technique for measuring the topography of a surface, its changes over both short-and long-time scale, and other changes in the detailed characteristics of the surface. We provide a tutorial description of recent results of the research activity at the University of Pisa on multibaseline (MB) InSAR processing. The main focus is on the problem of retrieving both heights and radar reflectivities of natural layover areas by means of a cross-track InSAR (XTI-SAR) system with a uniform linear array (ULA). It is formulated as the problem of detecting and estimating a multicomponent signal corrupted by multiplicative noise-the speckle in the radar imaging jargon-and by additive white Gaussian noise. Application to the InSAR problem of both nonparametric and parametric modern spectral estimation techniques is described. The problem of estimating the number of signal components in the presence of speckle is also addressed. Finally, a brief mention is given to recent research trends on robust methods for nonperfectly calibrated arrays, on processing for non-ULA configurations, and on MB SAR tomography, which is an extension of MB SAR interferometry for the full 3D mapping of semitransparent volume scattering layers. State of the art of other advanced multichannel interferometric techniques is also briefly recalled.

show abstract

Experiments of interferometric layover solution with the three-antenna airborne AER-II SAR system

Cited by 17 publications

References 7 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

3D surface reconstruction of layover areas in continuous terrain for multi-baseline SAR interferometry using a curve model

Multibaseline cross-track SAR interferometry: a signal processing perspective

Contact Info

Product

Resources

About