Microwave imaging: Reconstructions from experimental data using conjugate gradient and enhancement by edge-preserving regularization
✍ Scribed by P. Lobel; C. Pichot; L. Blanc-Féraud; M. Barlaud
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 195 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0899-9457
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✦ Synopsis
A method for reconstructing the complex permittivity and need more computations. In general, they involve the iterative profile of lossy dielectric objects from measured scattered far-field minimization of a cost functional. With the Newton-Kantorovich data is presented. An iterative reconstruction algorithm based on a or Gauss-Newton method [6], a linearization is applied on the conjugate gradient method is derived from an integral representation cost functional to be minimized. This method also needs a Tikhoof the electric field and applying a moment method solution. Results nov regularization procedure to converge, and is even delicate to obtained from experimental data are shown for both known and unbring into operation with noisy data [12]. The modified gradient known targets. Then, a new regularization procedure is developed to method [7,8,10] involves the minimization of a cost functional enhance the quality of the reconstruction. This method, based on a depending on two terms: the error between the computed scat-Markov random fields approach, models the object to be recontered field at the present step and the measured data, and the structed by homogeneous areas separated by borderlike discontinuities. Finally, the enhancement is shown by the reconstruction of a error in satisfying the equation of state. During the minimization polystyrene square cylinder.