Microwave imaging
An introduction to the most relevant theoretical and algorithmic aspects of modern microwave imaging approaches Microwave imaging-a technique used in sensing a given scene by means of interrogating microwaves-has recently proven its usefulness in providing excellent diagnostic capabilities in severa...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
Wiley
2010.
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| Edición: | 1st edition |
| Colección: | Wiley series in microwave and optical engineering.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628442306719 |
Tabla de Contenidos:
- Microwave Imaging; Contents; 1 Introduction; 2 Electromagnetic Scattering; 2.1 Maxwell's Equations; 2.2 Interface Conditions; 2.3 Constitutive Equations; 2.4 Wave Equations and Their Solutions; 2.5 Volume Scattering by Dielectric Targets; 2.6 Volume Equivalence Principle; 2.7 Integral Equations; 2.8 Surface Scattering by Perfectly Electric Conducting Targets; References; 3 The Electromagnetic Inverse Scattering Problem; 3.1 Introduction; 3.2 Three-Dimensional Inverse Scattering; 3.3 Two-Dimensional Inverse Scattering; 3.4 Discretization of the Continuous Model
- 3.5 Scattering by Canonical Objects: The Case of Multilayer Elliptic CylindersReferences; 4 Imaging Configurations and Model Approximations; 4.1 Objectives of the Reconstruction; 4.2 Multiillumination Approaches; 4.3 Tomographic Configurations; 4.4 Scanning Configurations; 4.5 Configurations for Buried-Object Detection; 4.6 Born-Type Approximations; 4.7 Extended Born Approximation; 4.8 Rytov Approximation; 4.9 Kirchhoff Approximation; 4.10 Green's Function for Inhomogeneous Structures; References; 5 Qualitative Reconstruction Methods; 5.1 Introduction
- 5.2 Generalized Solution of Linear Ill-Posed Problems5.3 Regularization Methods; 5.4 Singular Value Decomposition; 5.5 Singular Value Decomposition for Solving Linear Problems; 5.6 Regularized Solution of a Linear System Using Singular Value Decomposition; 5.7 Qualitative Methods for Object Localization and Shaping; 5.8 The Linear Sampling Method; 5.9 Synthetic Focusing Techniques; 5.10 Qualitative Methods for Imaging Based on Approximations; 5.11 Diffraction Tomography; 5.12 Inversion Approaches Based on Born-Like Approximations; 5.13 The Born Iterative Method
- 5.14 Reconstruction of Equivalent Current DensityReferences; 6 Quantitative Deterministic Reconstruction Methods; 6.1 Introduction; 6.2 Inexact Newton Methods; 6.3 The Truncated Landweber Method; 6.4 Inexact Newton Method for Electric Field Integral Equation Formulation; 6.5 Inexact Newton Method for Contrast Source Formulation; 6.6 The Distorted Born Iterative Method; 6.7 Inverse Scattering as an Optimization Problem; 6.8 Gradient-Based Methods; References; 7 Quantitative Stochastic Reconstruction Methods; 7.1 Introduction; 7.2 Simulated Annealing; 7.3 The Genetic Algorithm
- 7.4 The Differential Evolution Algorithm7.5 Particle Swarm Optimization; 7.6 Ant Colony Optimization; 7.7 Code Parallelization; References; 8 Hybrid Approaches; 8.1 Introduction; 8.2 The Memetic Algorithm; 8.3 Linear Sampling Method and Ant Colony Optimization; References; 9 Microwave Imaging Apparatuses and Systems; 9.1 Introduction; 9.2 Scanning Systems for Microwave Tomography; 9.3 Antennas for Microwave Imaging; 9.4 The Modulated Scattering Technique and Microwave Cameras; References; 10 Applications of Microwave Imaging; 10.1 Civil and Industrial Applications
- 10.2 Medical Applications of Microwave Imaging
