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Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software, by Dennis C. Ghiglia, Mark D. Pritt
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A resource like no other-the first comprehensive guide to phase unwrapping
Phase unwrapping is a mathematical problem-solving technique increasingly used in synthetic aperture radar (SAR) interferometry, optical interferometry, adaptive optics, and medical imaging. In Two-Dimensional Phase Unwrapping, two internationally recognized experts sort through the multitude of ideas and algorithms cluttering current research, explain clearly how to solve phase unwrapping problems, and provide practicable algorithms that can be applied to problems encountered in diverse disciplines. Complete with case studies and examples as well as hundreds of images and figures illustrating the concepts, this book features:
* A thorough introduction to the theory of phase unwrapping
* Eight algorithms that constitute the state of the art in phase unwrapping
* Detailed description and analysis of each algorithm and its performance in a number of phase unwrapping problems
* C language software that provides a complete implementation of each algorithm
* Comparative analysis of the algorithms and techniques for evaluating results
* A discussion of future trends in phase unwrapping research
* Foreword by former NASA scientist Dr. John C. Curlander
Two-Dimensional Phase Unwrapping skillfully integrates concepts, algorithms, software, and examples into a powerful benchmark against which new ideas and algorithms for phase unwrapping can be tested. This unique introduction to a dynamic, rapidly evolving field is essential for professionals and graduate students in SAR interferometry, optical interferometry, adaptive optics, and magnetic resonance imaging (MRI).
- Sales Rank: #2197257 in Books
- Published on: 1998-04-28
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.17" w x 6.40" l, 1.85 pounds
- Binding: Hardcover
- 512 pages
From the Publisher
This is the first book devoted to the subject of phase unwrapping, a rapidly growing field with applications to synthetic aperture radar (SAR) interferometry, optical interferometry, adaptive optics, and medial imaging. Good phase unwrapping algorithms will be critical to the success of NASA's Global Topographic Mapping Program, which is a space shuttle mission that will produce a high-precision topographic map of the entire earth, as well as the Air Force Airborne Laser Program, which is a 747-based system for shooting down airborne missiles with high-powered lasers.
From the Back Cover
A resource like no other-the first comprehensive guide to phase unwrapping
Phase unwrapping is a mathematical problem-solving technique increasingly used in synthetic aperture radar (SAR) interferometry, optical interferometry, adaptive optics, and medical imaging. In Two-Dimensional Phase Unwrapping, two internationally recognized experts sort through the multitude of ideas and algorithms cluttering current research, explain clearly how to solve phase unwrapping problems, and provide practicable algorithms that can be applied to problems encountered in diverse disciplines. Complete with case studies and examples as well as hundreds of images and figures illustrating the concepts, this book features:
* A thorough introduction to the theory of phase unwrapping
* Eight algorithms that constitute the state of the art in phase unwrapping
* Detailed description and analysis of each algorithm and its performance in a number of phase unwrapping problems
* C language software that provides a complete implementation of each algorithm
* Comparative analysis of the algorithms and techniques for evaluating results
* A discussion of future trends in phase unwrapping research
* Foreword by former NASA scientist Dr. John C. Curlander
Two-Dimensional Phase Unwrapping skillfully integrates concepts, algorithms, software, and examples into a powerful benchmark against which new ideas and algorithms for phase unwrapping can be tested. This unique introduction to a dynamic, rapidly evolving field is essential for professionals and graduate students in SAR interferometry, optical interferometry, adaptive optics, and magnetic resonance imaging (MRI).
About the Author
DENNIS C. GHIGLIA is a Senior Scientist at the Vexcel Corporation in Boulder, Colorado, and formerly a distinguished member of the technical staff at Sandia National Laboratories. Dr. Ghiglia has written numerous articles and papers, coauthored Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, and holds two U.S. patents.
MARK D. PRITT is a Senior Engineer for Lockheed Martin Corporation, where he has worked on the research and development of image processing and phase unwrapping algorithms for nearly a decade. Dr. Pritt has published numerous papers and articles and holds five U.S. patents.
Most helpful customer reviews
14 of 14 people found the following review helpful.
Valuable book for workers in the field of phase unwrapping
By James Wyant
This book is a very specialized book and is of little interest to most readers, but for readers working in the field of phase unwrapping this book is a must. This book gives methods of solving phase unwrapping problems. Four path-following and four minimum-norm techniques are described. A detailed analysis is presented for each algorithm. The distinctive feature of each algorithm is given and the algorithms are ranked in terms of their execution times, memory requirements, and successes and failures on the phase unwrapping examples. Guidelines are given for deciding which algorithm applies to a given problem. A suite of C language programs and routines comprising over 6000 lines of source code that implement the ideas and algorithms discussed in the book, and data sets, can be downloaded from the Wiley FTP site.
2 of 2 people found the following review helpful.
very useful guide for 2D phase unwrapping
By V. card
Gives clear explainations of the 2D phase unwrapping problem and many of it's possible solutions, with comparisons between them. C code is included, as well as psuedo code for each algorithm, that is easily translated into other programming languages.
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