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2017-02-17
Profile Reconstruction Utilizing Forward-Backward Time-Stepping with the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications
By
Progress In Electromagnetics Research M, Vol. 54, 125-135, 2017
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.
Citation
Guang Yong, Kismet Anak Hong Ping, Shafrida Sahrani, Mohamad Hamiruce Marhaban, Mohd Iqbal Sariphn, Toshifumi Moriyama, and Takashi Takenaka, "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, Vol. 54, 125-135, 2017.
doi:10.2528/PIERM16111001
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