Microwave Imaging of Electrical Property Distributions By a Forward-Backward Time-Stepping Method

Takenaka, Takashi; Jia, Hongting; Tanaka, Toshiyuki

doi:10.1163/156939300x00383

Cited by 68 publications

(48 citation statements)

References 29 publications

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“…In this approach, we use Polak-Ribiète-Polyak conjugate gradient method for optimization technique to solve the inverse scattering problem. Refer to [10] for more details.…”

Section: B Fbts Inverse Scattering Techniquementioning

confidence: 99%

See 1 more Smart Citation

Two-dimensional Forward-Backward Time-Stepping approach for tumor detection in dispersive breast tissues

Ping

Moriyama

Takenaka

et al. 2009

2009 Mediterrannean Microwave Symposium (MMS)

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“…In this approach, we use Polak-Ribiète-Polyak conjugate gradient method for optimization technique to solve the inverse scattering problem. Refer to [10] for more details.…”

Section: B Fbts Inverse Scattering Techniquementioning

confidence: 99%

“…al. [10] for a simple one-dimensional case and has been extended to reconstruction of a heterogeneous breast model in twodimensional [11], [12]. For three-dimensional case, both numerical and experimental have been studied [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Two-dimensional Forward-Backward Time-Stepping approach for tumor detection in dispersive breast tissues

Ping

Moriyama

Takenaka

et al. 2009

2009 Mediterrannean Microwave Symposium (MMS)

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“…To overcome this problem, it is suggested to use time-domain based technique. Time-domain based technique has demonstrated the ability to reconstruct the distribution of dielectric properties more accurately [24][25][26][27][28]. Currently, time-domain based technique includes Lagrange multipliers technique by Rekanos [24], time-domain inverse scattering by Winters et al [25] and FBTS method by Takenaka et al [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications

Yong¹,

Ping²,

Sahrani³

et al. 2017

PIER M

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Abstract-A regularization is integrated with Forward-Backward Time-Stepping (FBTS) method which is formulated in time-domain utilizing Finite-Difference Time-Domain (FDTD) method to solve the nonlinear and ill-posed problem arisen in the microwave inverse scattering problem. FBTS method based on a Polak-Ribiète-Polyak conjugate gradient method is easily trapped in the local minima. Thus, we extend our work with the integration of edge-preserving regularization technique due to its ability to smooth and preserve the edges containing important information for reconstructing the dielectric profiles of the targeted object. In this paper, we propose a deterministic relaxation with Mean Square Error algorithm known as DrMSE in FBTS and integrate it with the automated edge-preserving regularization technique. Numerical simulations are carried out and prove that the reconstructed results are more accurate by calculating the edge-preserving parameter automatically.

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“…To overcome these drawbacks, a novel tomographic borehole imaging technique is presented in this paper. More in detail, the detection of unknown objects in wide search regions with a sufficient resolution is yielded by integrating the forward-backward time-stepping (FBTS) algorithm [4,5] with the iterative multiscale scheme (IMS) [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Iterative multiscaling strategy incorporated into time domain inverse scattering method for cross-borehole imaging

Moriyama

Oliveri

Massa

et al. 2011

2011 IEEE International Geoscience and Remote Sensing Symposium

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We consider cross-borehole imaging of buried objects embedded in a large search area by using a time domain inverse analysis. For simplicity, a two-dimensional model is examined. In order to avoid trap into false solution and enhance the achievable spatial resolution, the iterative multiscaling strategy combined with the forward-backward time-stepping method is proposed. Preliminary results show the effectiveness of proposed method.

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Microwave Imaging of Electrical Property Distributions By a Forward-Backward Time-Stepping Method

Cited by 68 publications

References 29 publications

Two-dimensional Forward-Backward Time-Stepping approach for tumor detection in dispersive breast tissues

Two-dimensional Forward-Backward Time-Stepping approach for tumor detection in dispersive breast tissues

Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications

Iterative multiscaling strategy incorporated into time domain inverse scattering method for cross-borehole imaging

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