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Your search keyword '"Sun, C. H."' showing total 2 results
Start Over Author "Sun, C. H." Topic image processing
2 results on '"Sun, C. H."'

1. The reconstruction of time domain through-wall imaging for a metallic cylinder.

Author

Wan, Y., Yu, C-Y., Sun, C-H., and Chiu, C-C.

Subjects
IMAGE reconstruction, IMAGE processing, ELECTROMAGNETIC fields, DIFFERENTIAL evolution, BACKSCATTERING, SIMULATION methods & models
Abstract

Shape reconstruction from scattered electromagnetic fields is considered for two-dimensional through-wall imaging (TWI). The finite-difference time-domain method is applied to calculate the scattered E fields for forward scattering. Inverse scattering problems are transformed into optimisation problems based on the scattered E fields. A dynamic differential evolution (DDE) stochastic searching algorithm for shape reconstruction of a two-dimensional conducting target hidden behind a homogeneous building wall is demonstrated using simulated backscattered fields. The DDE is a population-based optimisation approach that aims to minimise the objective function between mimic measurements and computer-simulated data. Thus, the shape of a metallic cylinder can be obtained by minimising the objective function. Simulations show that DDE can successfully reconstruct TWI for a metallic cylinder. In addition, the effect of Gaussian noise on the reconstruction is investigated. [ABSTRACT FROM AUTHOR]

Published
2015
Full Text
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2. Shape reconstruction of 2D perfectly conducting cylinder targets using the particle swarm optimisation.

Author

Chiu, C-C, Sun, C-H, and Fan, Y-S

Subjects
*IMAGE reconstruction, *PARTICLE swarm optimization, *RANDOM noise theory, *PROBLEM solving, *NONLINEAR integral equations, *MICROWAVE imaging, *IMAGE processing, *DIAGNOSTIC imaging
Abstract

The particle swarm optimisation (PSO) for shape reconstruction of perfect conducting cylinder (PEC) buried in a half-space is presented. Assume that a conducting cylinder of unknown shape is buried in one half-space and scatters the field incident from another half-space where the scattered filed is measured. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimisation problem. The inverse problem is resolved by an optimisation approach, and the global searching scheme PSO is then employed to search the parameter space. Numerical results demonstrate that even when the initial guess is far away from the exact one, good reconstruction can be obtained by using PSO both with and without the additive Gaussian noise. 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