Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications
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-Ribi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Electromagnetics Academy
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/15912/ http://ir.unimas.my/id/eprint/15912/1/Profile%20Reconstruction%20Utilizing%20Forward-Backward%20Time-Stepping%20%28abstract%29.pdf |
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| author | Yong, G. Ping, K.A.H. Sahrani, S. Marhaban, M.H. Sariphan, M.I. Moriyama, T. Takenaka, T. |
| author_facet | Yong, G. Ping, K.A.H. Sahrani, S. Marhaban, M.H. Sariphan, M.I. Moriyama, T. Takenaka, T. |
| author_sort | Yong, G. |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T06:47:49Z |
| format | Article |
| id | unimas-15912 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:47:49Z |
| publishDate | 2017 |
| publisher | Electromagnetics Academy |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-159122017-05-02T08:03:15Z http://ir.unimas.my/id/eprint/15912/ Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications Yong, G. Ping, K.A.H. Sahrani, S. Marhaban, M.H. Sariphan, M.I. Moriyama, T. Takenaka, T. T Technology (General) 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. Electromagnetics Academy 2017 Article PeerReviewed text en http://ir.unimas.my/id/eprint/15912/1/Profile%20Reconstruction%20Utilizing%20Forward-Backward%20Time-Stepping%20%28abstract%29.pdf Yong, G. and Ping, K.A.H. and Sahrani, S. and Marhaban, M.H. and Sariphan, M.I. and Moriyama, T. and Takenaka, T. (2017) Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications. Progress In Electromagnetics Research M, 54. pp. 125-135. ISSN 1937-8726 http://www.jpier.org/PIERM/pierm54/14.16111001.pdf 10.2528/PIERM16111001 |
| spellingShingle | T Technology (General) Yong, G. Ping, K.A.H. Sahrani, S. Marhaban, M.H. Sariphan, M.I. Moriyama, T. Takenaka, T. Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications |
| title | Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications |
| title_full | Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications |
| title_fullStr | Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications |
| title_full_unstemmed | Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications |
| title_short | Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications |
| title_sort | profile reconstruction utilizing forward-backward time-stepping with the integration of automated edge-preserving regularization technique for object detection applications |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/15912/ http://ir.unimas.my/id/eprint/15912/ http://ir.unimas.my/id/eprint/15912/ http://ir.unimas.my/id/eprint/15912/1/Profile%20Reconstruction%20Utilizing%20Forward-Backward%20Time-Stepping%20%28abstract%29.pdf |