Chen | Principles of Synthetic Aperture Radar Imaging | E-Book | sack.de
E-Book

E-Book, Englisch, 219 Seiten

Reihe: Signal and Image Processing of Earth Observations

Chen Principles of Synthetic Aperture Radar Imaging

A System Simulation Approach
1. Auflage 2015
ISBN: 978-1-4665-9315-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

A System Simulation Approach

E-Book, Englisch, 219 Seiten

Reihe: Signal and Image Processing of Earth Observations

ISBN: 978-1-4665-9315-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach demonstrates the use of image simulation for SAR. It covers the various applications of SAR (including feature extraction, target classification, and change detection), provides a complete understanding of SAR principles, and illustrates the complete chain of a SAR operation.

The book places special emphasis on a ground-based SAR, but also explains space and air-borne systems. It contains chapters on signal speckle, radar-signal models, sensor-trajectory models, SAR-image focusing, platform-motion compensation, and microwave-scattering from random media.

While discussing SAR image focusing and motion compensation, it presents processing algorithms and applications that feature extraction, target classification, and change detection. It also provides samples of simulation on various scenarios, and includes simulation flowcharts and results that are detailed throughout the book.

Introducing SAR imaging from a systems point of view, the author:

- Considers the recent development of MIMO SAR technology

- Includes selected GPU implementation

- Provides a numerical analysis of system parameters (including platforms, sensor, and image focusing, and their influence)

- Explores wave-target interactions, signal transmission and reception, image formation, motion compensation

- Covers all platform motion compensation and error analysis, and their impact on final image radiometric and geometric quality

- Describes a ground-based SFMCW system

Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach is dedicated to the use, study, and development of SAR systems. The book focuses on image formation or focusing, treats platform motion and image focusing, and is suitable for students, radar engineers, and microwave remote sensing researchers.

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Autoren/Hrsg.


Weitere Infos & Material


Preliminary Background
Signals and Linear System
Basics of Radar Signal
Concept of Synthetic Aperture Radar
References

SAR Models
Introduction
Physical Model
Target RCS Models
System Model
References

SAR Data and Signal
Introduction
Chirp Signal
Properties of Doppler Frequency
FM Continuous Wave
References

SAR Path Trajectory
Introduction
Time Coordinate System
Spatial Coordinate System
Satellite Position, Velocity, and Their Estimations
Coordinates for Aircraft Platform
References

SAR Image Focusing
Introduction
Generic Range–Doppler Algorithm
Chirp Scaling Algorithm
References

Motion Compensation
Introduction
Parameters and Their Conversions
Signal Model for Motion Compensation
Numerical Simulation
References

Stationary FMCW SAR
Introduction
SFMCW Signal Model
Image Focusing of SFMCW System
Motion Compensation
Experimental Measurements
References

System Simulations and Applications
Introduction
Simulation Demonstration
Computation Complexity
Contrast Enhancement by Nonquadratic Optimization
Feature Vectors and Extraction
Applications to Target Identification
References


Kun-Shan Chen received a PhD degree in electrical engineering from the University of Texas at Arlington in 1990. From 1992 to 2014, he was with the faculty of National Central University, Taiwan. He joined the Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, in 2014, and has served the Department of Electrical Engineering, The University of Texas at Arlington, USA, as a research professor since 2014. He has authored or coauthored over 120 journal papers, contributed seven book chapters, is a coauthor of one book, and a fellow of The Institute of Electrical and Electronics Engineers (IEEE).



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