The inverse scattering series depth imaging algorithms: development, tests and progress towards field data application

Weglein, Arthur B.; Liu, Fang; Wang, Zhiqiang; Xu, Li Xin; Liang, Hong

doi:10.1190/1.3513725

Cited by 6 publications

(6 citation statements)

References 4 publications

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“…(15) From (15), EISSM calls for an infinite integral of angular temporal frequency ω to accurately reconstruct α. However, the source wavelet is frequency band-limited in practice.…”

Section: Theory Of Eissmmentioning

confidence: 99%

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Effects of frequency information to the electromagnetic inverse scattering series method (EISSM)

Wang

Zhao

Lei

et al. 2014

2014 IEEE Radar Conference

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For subsurface sensing objects using electromagnetic waves, most of current imaging methods need priori information of exact dielectric properties of background media in order to accurately reconstruct the concealed targets. This condition is hardly satisfied in practice. Recently, an efficiently qualitative imaging method termed electromagnetic inverse scattering series method (EISSM) is developed to image the buried targets. EISSM reconstructs concealed targets in the layered media by only utilizing dielectric properties of free space. However, the effects of frequency information to the EISSM have never been discussed. In this paper, we analyze and discuss the effects of frequency information to the performance of EISSM when imaging the buried objects. Through some numerical simulations, EISSM can obtain favorable image results with a broad frequency spectrum of measured data.

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“…(15) From (15), EISSM calls for an infinite integral of angular temporal frequency ω to accurately reconstruct α. However, the source wavelet is frequency band-limited in practice.…”

Section: Theory Of Eissmmentioning

confidence: 99%

“…The derivation for solving α 1 from (9) mainly uses the Fourier transform and inverse Fourier transform, one can refer to [14], [15]. Here we will omit the detailed derivation.…”

Section: Theory Of Eissmmentioning

confidence: 99%

Effects of frequency information to the electromagnetic inverse scattering series method (EISSM)

Wang

Zhao

Lei

et al. 2014

2014 IEEE Radar Conference

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“…Such a direct inversion algorithm aims at simultaneous generation of the primaries from all depth levels (Weglein et al 2010). This means that we aim at constructing a solution that is directly expressed in the original measurements at the surface (z 0 ).…”

Section: Figure 4bmentioning

confidence: 99%

“…Nonrecursive linearization algorithms remove multiples by making directly use of the volume integral (ISS approach); these algorithms apply a direct inversion process to the data (Weglein et al 2010). To avoid false images, traditional migration requires linearization first.…”

Section: ) Nonlinear Imaging After Extended Marchenko Redatuming (Frmentioning

confidence: 99%

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Utilization of multiple scattering: the next big step forward in seismic imaging

Berkhout

2016

Geophysical Prospecting

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Surface removal and internal multiple removal are explained by recursively separating the primary and multiple responses at each depth level with the aid of wavefield prediction error filtering. This causal removal process is referred to as “data linearization.” The linearized output (primaries only) is suitable for linear migration algorithms. Next, a summary is given on the migration of full wavefields (primaries + multiples) by using the concept of secondary sources in each subsurface gridpoint. These secondary sources are two‐way and contain the gridpoint reflection and the gridpoint transmission properties. In full wavefield migration, a local inversion process replaces the traditional linear imaging conditions. Finally, Marchenko redatuming is explained by iteratively separating the full wavefield response from above a new datum and the full wavefield response from below a new datum. The redatuming output is available for linear migration (Marchenko imaging) or, even better, for full wavefield migration. Linear migration, full wavefield migration, and Marchenko imaging are compared with each other. The principal conclusion of this essay is that multiples should not be removed, but they should be utilized, yielding two major advantages: (i) illumination is enhanced, particularly in the situation of low signal‐to‐noise primaries; and (ii) both the upper side and the lower side of reflectors are imaged. It is also concluded that multiple scattering algorithms are more transparent if they are formulated in a recursive depth manner. In addition to transparency, a recursive depth algorithm has the flexibility to enrich the imaging process by inserting prior geological knowledge or by removing numerical artefacts at each depth level. Finally, it is concluded that nonlinear migration algorithms must have a closed‐loop architecture to allow successful imaging of incomplete seismic data volumes (reality of field data).

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Electromagnetic Inverse Scattering Series Method for Positioning Three-Dimensional Targets in Near-Surface Two-Layer Medium With Unknown Dielectric Properties

Wang

Zhao

Nie

et al. 2015

IEEE Geosci. Remote Sensing Lett.

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The inverse scattering series depth imaging algorithms: development, tests and progress towards field data application

Cited by 6 publications

References 4 publications

Effects of frequency information to the electromagnetic inverse scattering series method (EISSM)

Effects of frequency information to the electromagnetic inverse scattering series method (EISSM)

Utilization of multiple scattering: the next big step forward in seismic imaging

Electromagnetic Inverse Scattering Series Method for Positioning Three-Dimensional Targets in Near-Surface Two-Layer Medium With Unknown Dielectric Properties

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