Using DInSAR to Separate Surface and Subsurface Features

Morrison, K.; Bennett, John C.; Nolan, M.

doi:10.1109/tgrs.2012.2226183

Cited by 17 publications

(18 citation statements)

References 15 publications

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“…Morrison et al . () presented a theory to explain the observed phase behaviour of a buried target in a sandy soil. Here, we provide only a summary of that model.…”

Section: The Subsar Modelmentioning

confidence: 99%

“…In the SubSAR scheme outlined by Morrison et al . (, ), a DInSAR temporal sequence is used to distinguish between surface and subsurface features at vertical discriminations far superior to the formal incoherent resolution. The scheme exploits the effect that a varying volumetric soil moisture, m v , has on the subsurface phase signal, and which does not affect the surface return ( m v is a dimensionless ratio representing the fraction of the total volume of soil that is occupied by the water contained in the soil).…”

Section: Introductionmentioning

confidence: 99%

“…Morrison et al . () provided a theoretical framework describing the DInSAR phase behaviour. The ability to exploit the scheme relies on two central tenets in the model; (i) that the DInSAR phase is linear with change in m v ; and (ii) that the phase is independent of the incidence angle the scene is observed at.…”

Section: Introductionmentioning

confidence: 99%

“…Only limited experimental evidence was provided in Morrison et al . (), in the form of a 17° linear phase change from a buried trihedral in a drying soil. No experimental confirmation of the incidence‐angle independence was provided.…”

Section: Introductionmentioning

confidence: 99%

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Mapping Subsurface Archaeology with SAR

Morrison

2013

Archaeological Prospection

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SubSAR is a new scheme for mapping subsurface features with synthetic aperture radar (SAR) at large stand-off distances applicable to airborne and satellite measurements. This is in sharp contrast to current techniques, where discrimination relies on close-proximity measurement of the scene, usually with a ground-based system. The scheme discriminates between surface and subsurface returns using a novel application of differential SAR interferometry (DInSAR). It is based on the differing phase histories of surface and subsurface features. Whereas the latter experiences phase delays in sympathy with variations in soil moisture, these are absent from the surface feature's phase history. To assess the predictions and performance of the model against measurements, a laboratory investigation was carried out at the GB-SAR Microwave Measurement Facility. C-band VV tomographic profiling (TP) was collected of a trihedral and a pile of cobble stones, buried in a sandy soil. The TP imagery displayed the vertical backscattering pattern through the soil, allowing separation of returns from the soil and buried features. Known amounts of water were added incrementally to the soil to precisely quantify DInSAR phase and backscatter behaviours of the soil and buried features. The measurements confirmed the two central tenets of the model: (i) a linear relationship between soil moisture and DInSAR phase, and (ii) that this is independent of incidence angle. Application and performance of the scheme applied to mapping subsurface archaeology is discussed. A low-level product would deliver a basic distinction between surface and subsurface features in SAR imagery. The high-level product, with supporting ground-truth data, could additionally deliver the depth of a feature.

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“…Morrison et al . () presented a theory to explain the observed phase behaviour of a buried target in a sandy soil. Here, we provide only a summary of that model.…”

Section: The Subsar Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mapping Subsurface Archaeology with SAR

Morrison

2013

Archaeological Prospection

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“…However, 2-D images could not meet the requirements in many applications, and 3-D images are anticipated. Synthetic aperture radar interferometry (InSAR) technology is a powerful technique used to measure the elevation of the terrain patch [3,4], but the distribution of the scatterers in height is underdetermined and cannot be resolved by a single baseline measurement. As the extension of conventional InSAR, tomography SAR adds multiple baselines in the direction perpendicular to the azimuth and to the line of sight and forms an additional synthetic aperture in the height direction.…”

Section: Introductionmentioning

confidence: 99%

Tomography Sar Imaging Strategy Based on Block-Sparse Model

Ren¹,

Sun²

2016

PIER M

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Abstract-The compressed sensing (CS) based imaging methods for tomography SAR perform well in the case of large number of baselines. Unfortunately, for the current tomography SAR, the baselines are obtained from many multi-pass acquisitions on the same scene, which is expensive and can be severely affected by temporal decorrelation. In order to reduce the number of baselines, a novel strategy for tomography SAR imaging by introducing the block-sparsity theory into the imaging processing is proposed in this paper. Using neighboring pixels information in reconstruction, the proposed method can overcome the imaging quality limitation imposed by the low number of baselines. The results with simulation data under the additive gaussian noise case are presented to verify the effectiveness of the proposed method.

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