Remote Sensing Image Fusion
A Practical Guide
Published on 3. October 2016
288 pages
978-1-315-35306-7 (ISBN)
Description
Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world. The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.
Reviews / Votes
"This book provides a well-organized, systematic overview of the topic of remote sensing image fusion. The breadth and depth of the topics covered benefit greatly from the two authors' vast research experience on image fusion and its many practical applications. The book describes all the various levels of image and data fusion, and provides more than forty original fusion algorithms. The pre-processing steps prior to fusion, and the quality assessment aspects are also provided, in addition to a chapter on the many applications. With many schematic examples and colour illustrations, this book should become the standard textbook for both undergraduate and post graduate students, as well as serving as a reliable desk copy for remote sensing researchers and professionals working in the field of remote sensing image fusion."-Zhai Liang, Chinese Academy of Surveying and Mapping, Beijing, China
"Pohl and Van Genderen's Remote Sensing Image Fusion: A Practical Guide presents state-of-the-art remote sensing image processing and image fusion techniques. It is an outstanding resource for researchers on remote sensing image analysis, information extraction and applications. As the authors are among the foremost practitioners on remote sensing image analysis and fusion, the book is truly an excellent practical guidance on remote sensing image fusion and applications. Highly recommended for a college-level textbook."
-Zhong Lu, Southern Methodist University, Dallas, Texas, USA
"This book is a delightful summary of image fusion methods for newcomers and specialists likewise. It is necessary reading for everyone working with remote sensing imagery. While being very well structured, it is more than a useful collection of an enormous variety of methodologies, methods and techniques. It offers great potential to bring clarity into this field and to shape the field of remote sensing image fusion."
-Thomas Blaschke, University of Salzburg, Austria
"This Guide is not only a wonderful entry for newcomers or students but also for experts who would like to get a grasp on recent achievements. It presents a very well-structured work that contributes to the understanding of the potential and practical implications of image fusion in remote sensing. In particular, beside extensive chapters on fusion techniques with all their technical details, a large variety of remote sensing applications using image fusion in urban studies, land use / land cover mapping, change detection, geology, vegetation and forest monitoring, natural hazards, disasters and others make this book a unique reference in today's diverse and multisensory environment."
-Peter Reinartz, German Aerospace Center, Cologne, Germany
"... an all-in-one textbook for researchers and practitioners who are interested in image fusion. ...this book can serve as a starting point for beginners to quickly understand the overview and general concepts of image fusion techniques. It can also serve as a reference book for experts to quickly find relevant information for their research and applications."
-Yun Zhang, University of New Brunswick, Canada
"This would likely be their [the authors'] new milestone contribution to this field, after almost 20 years. I cannot wait to read this book."
-Jie Shan, Purdue University, West Lafayette, Indiana, USA
"This book is not only a good entry for newcomers or students, but also for experts wanting to understand the recent achievements. This book deserves a place in every university library as well as in the library of research institutes and on the bookshelf of those working actively in this field. I can strongly recommend it to everyone wanting to know more about image fusion and to understand how it works. It is the type of book you will frequently want to pick up, look up some topic, or use in detail together with all the additional learning resources provided."
-International Journal of Digital Earth, January 2017
"This book will be a valuable resource to all students, teachers, researchers and practitioners of remote sensing image fusion. I highly recommend this book to all our readers."
-International Journal of Image and Data Fusion, March 2017
"Written by two of the best-known researchers in the field of remote sensing fusion, this book gives a good introduction to the subject of remote sensing image fusion. This textbook is relevant to newcomers and specialists alike because it provides in-depth explanations, as well as new insights on recent advances in the field. Readers will find this to be a very practical guide to enter this exciting technology."
-Geo-spatial Information Science, March 2017
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
21 Tables, black and white; 90 Illustrations, color
File size
3,42 MB
ISBN-13
978-1-315-35306-7 (9781315353067)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
12/2019
1st Edition
CRC Press
€101.30
Shipment within 15-20 days
Book
09/2016
1st Edition
CRC Press
€193.13
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Persons
Christine Pohl obtained her BSc in geodesy at the Technical University of Braunschweig and continued her MSc at Leibniz University Hannover, in Germany. She earned her PhD in remote sensing from an international program at the International Institute for Aerospace Survey and Earth Sciences (ITC), the Netherlands, together with Leibniz University, Hannover, Germany in 1996. Between 1996 and 1998, she worked as deputy head of the research division at the European Union Satellite Center (EUSC) in Madrid, Spain, followed by a period as an associate professor back at ITC, the Netherlands. From 2002 to 2012, she was as CEO for a private company in Europe, where she was responsible for educational program and provided coaching and leadership training for managers.
Currently, she is a professor at the University of Osnabrueck, Germany. Her research interests cover mainly standardization procedures for remote sensing image and data fusion. She uses remote sensing for applications in the tropics, monitoring oil palm plantations, mapping, change detection, humanitarian crisis support, and coastal zone management. She serves on the technical committees of several international conferences in the field of remote sensing. Christine is an editor for the International Journal of Remote Sensing and is a member of the editorial board of the International Journal of Image and Data Fusion.
John Van Genderen graduated from the University of Queensland, Brisbane, Australia. He then studied remote sensing at the ITC in the Netherlands for his MSc degree and earned his PhD in remote sensing from the University of Sheffield in the United Kingdom in 1972. Since then, he has carried out research, teaching, projects, and consulting assignments in more than 140 countries around the world. He was a professor of remote sensing at the ITC from 1991 until his retirement in 2009. His main research interests in terms of technology have been in RSIF, image processing, and SAR interferometry, and in terms of applications have been in coastal zones and natural and man-made hazards. He serves on many editorial boards of remote sensing journals such as the International Journal of Image and Data Fusion, and has been active in many national and international remote sensing societies.
Currently, she is a professor at the University of Osnabrueck, Germany. Her research interests cover mainly standardization procedures for remote sensing image and data fusion. She uses remote sensing for applications in the tropics, monitoring oil palm plantations, mapping, change detection, humanitarian crisis support, and coastal zone management. She serves on the technical committees of several international conferences in the field of remote sensing. Christine is an editor for the International Journal of Remote Sensing and is a member of the editorial board of the International Journal of Image and Data Fusion.
John Van Genderen graduated from the University of Queensland, Brisbane, Australia. He then studied remote sensing at the ITC in the Netherlands for his MSc degree and earned his PhD in remote sensing from the University of Sheffield in the United Kingdom in 1972. Since then, he has carried out research, teaching, projects, and consulting assignments in more than 140 countries around the world. He was a professor of remote sensing at the ITC from 1991 until his retirement in 2009. His main research interests in terms of technology have been in RSIF, image processing, and SAR interferometry, and in terms of applications have been in coastal zones and natural and man-made hazards. He serves on many editorial boards of remote sensing journals such as the International Journal of Image and Data Fusion, and has been active in many national and international remote sensing societies.
Content
Introduction; Remote sensing; Multi-sensor data; Image and data fusion; Fusion Levels; Data Fusion; Fusion in remote sensing; Sub-pixel level; Pixel level; Feature level; Decision Level; Hybrid level fusion; Pre-processing; Data Selection; Sensor-specific corrections; Geometric Corrections; Image Enhancement; Fusion Techniques; Categorizations of image fusion techniques; The role of colour in image fusion; Component substitutions; Numerical methods; Statistical image fusion; Multi-resolution approaches (MRA); Hybrid techniques; Selection approach; Quality assessment; Image quality parameters; Acceptable quality measures in RSIF; Palubinskas' generic framework for pansharpening quality assessment; Value and requirements for visual evaluation; Conclusions and trends.
