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Microwave Imaging Methods and Applications 1st Edition by Matteo Pastorino, Andrea Randazzo ISBN 1630815268 9781630815264

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Author(s): Matteo Pastorino; Andrea Randazzo
ISBN(s): 9781630815264, 1630815268
Edition: 1
File Details: PDF, 7.05 MB
Year: 2018
Language: english
SKU: EB-51639150 Category: Tags: ,

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ISBN 10: 1630815268
ISBN 13: 9781630815264
Author: Matteo Pastorino, Andrea Randazzo

Microwave Imaging Methods and Applications provides practitioners and researchers with a complete overview of the latest and most important noninvasive and nondestructive techniques for inspecting structures and bodies by using microwaves. Placing emphasis on applications, the book considers many areas, from medical imaging and security…to industrial engineering and subsurface prospection. For each application, readers are presented with the objectives of the inspection and related challenges. Moreover, this groundbreaking resource details computational methods that can be used to solve inverse problems related to specific applications. Including clear examples or the most significant practical results, this forward-looking reference focuses on systems that have been recently developed. Professionals gain the knowledge needed to compare imaging methods used in different applications and develop new uses of imaging apparatuses and systems.

Microwave Imaging Methods and Applications 1st Table of contents:

1: Introduction to Microwave Imaging

1.1 Overview of Microwave Imaging Techniques
1.2 Basic Principles of Electromagnetic Waves
1.3 Historical Development of Microwave Imaging
1.4 Applications of Microwave Imaging in Various Fields
1.5 Challenges and Future Directions in Microwave Imaging
Notes

2: Electromagnetic Theory for Imaging

2.1 Maxwell’s Equations and Their Role in Imaging
2.2 Wave Propagation in Different Media
2.3 Scattering and Diffraction of Microwaves
2.4 Dielectric Properties of Materials
2.5 Reflection, Transmission, and Refraction at Interfaces
2.6 Interaction of Microwaves with Biological Tissues
Notes

3: Microwave Imaging System Components

3.1 Antennas and Transmitters for Microwave Imaging
3.2 Receivers and Signal Processing
3.3 Radar Systems and Their Role in Imaging
3.4 Time-of-Flight vs. Frequency Domain Imaging Techniques
3.5 Microwave Tomography
3.6 Multi-Channel and Multi-Frequency Approaches
Notes

4: Microwave Imaging Techniques

4.1 Time-Domain Microwave Imaging
4.2 Frequency-Domain Microwave Imaging
4.3 Synthetic Aperture Radar (SAR) Imaging
4.4 Microwave Tomography
4.5 Microwave Impedance Imaging
4.6 Millimeter-Wave Imaging
4.7 Microwave Diffraction Tomography
Notes

5: Image Reconstruction Algorithms

5.1 Inverse Scattering Problem in Microwave Imaging
5.2 Image Reconstruction Techniques: A General Overview
5.3 Time-Domain and Frequency-Domain Inversion Algorithms
5.4 Regularization Methods in Imaging
5.5 Optimization Techniques in Microwave Imaging
5.6 Hybrid Methods: Combining Microwave and Other Imaging Modalities
Notes

6: Microwave Imaging for Medical Applications

6.1 Microwave Imaging for Breast Cancer Detection
6.2 Non-Invasive Monitoring of Tissue Properties
6.3 Microwave Imaging for Brain and Nervous System Studies
6.4 Microwave Imaging for Cardiology and Vascular Imaging
6.5 Challenges in Medical Microwave Imaging
6.6 Clinical Case Studies and Applications
Notes

7: Microwave Imaging for Industrial Applications

7.1 Nondestructive Testing (NDT) with Microwave Imaging
7.2 Detection of Material Defects and Structural Integrity
7.3 Monitoring of Industrial Processes Using Microwave Imaging
7.4 Soil and Water Contamination Detection
7.5 Microwave Imaging for Agricultural Applications
Notes

8: Microwave Imaging in Security and Defense

8.1 Radar and Imaging for Surveillance
8.2 Microwave Imaging for Ground Penetrating Radar (GPR)
8.3 Detection of Hidden Objects and Structures
8.4 Security and Border Control Applications
8.5 Military and Defense Applications of Microwave Imaging
Notes

9: Microwave Imaging for Remote Sensing

9.1 Remote Sensing Principles and Microwave Imaging
9.2 Earth Observation Using Microwave and Millimeter-Wave Systems
9.3 Atmospheric and Oceanographic Studies
9.4 Satellite-Based Microwave Imaging Systems
9.5 Applications in Meteorology and Climate Studies
Notes

10: System Design and Implementation

10.1 Design Principles for Microwave Imaging Systems
10.2 Key Parameters: Frequency, Power, and Resolution
10.3 Calibration of Microwave Imaging Systems
10.4 System Integration and Optimization
10.5 Prototype Development and Testing
10.6 Case Studies in System Design
Notes

11: Computational Methods and Simulation Tools

11.1 Finite-Difference Time-Domain (FDTD) Method
11.2 Finite Element Method (FEM) for Microwave Imaging
11.3 Full-Wave Simulation and Modeling Techniques
11.4 Software Tools for Microwave Imaging Simulation
11.5 Validation of Computational Models and Experimental Data
Notes

12: Future Trends and Challenges in Microwave Imaging

12.1 Advances in Microwave Imaging Technology
12.2 Integration of Artificial Intelligence and Machine Learning
12.3 Emerging Applications in Personalized Medicine
12.4 Miniaturization of Microwave Imaging Systems
12.5 The Role of Microwave Imaging in the Internet of Things (IoT)
12.6 Overcoming Current Limitations and Future Prospects

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Tags: Matteo Pastorino, Andrea Randazzo, Microwave Imaging