Multispectral Image Fusion and Colorization


Book Description

"This book provides a complete overview of the state of the art in color image fusion, the associated evaluation methods, and its range of applications. It presents a comprehensive overview of fusion metrics and a comparison of objective metrics and subjective evaluations. Part I addresses the historical background and basic concepts. Part II describes image fusion theory. Part III focuses on quantitative and qualitative evaluation. Part IV presents several fusion applications, including two primary multiscale fusion approaches - the image pyramid and wavelet transform - as they pertain to face matching, biomedical imaging, and night vision"--




Hyperspectral Imaging


Book Description

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields. Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed Covers state-of-the-art applications in different scientific fields Discusses the implementation of hyperspectral devices in different environments




Multispectral Imaging


Book Description

What is Multispectral Imaging Multispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or detected with the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range, i.e. infrared and ultra-violet. It can allow extraction of additional information the human eye fails to capture with its visible receptors for red, green and blue. It was originally developed for military target identification and reconnaissance. Early space-based imaging platforms incorporated multispectral imaging technology to map details of the Earth related to coastal boundaries, vegetation, and landforms. Multispectral imaging has also found use in document and painting analysis. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Multispectral imaging Chapter 2: Infrared Chapter 3: Remote sensing Chapter 4: Thermographic camera Chapter 5: Satellite imagery Chapter 6: Spectral signature Chapter 7: Spectral imaging Chapter 8: Hyperspectral imaging Chapter 9: Chemical imaging Chapter 10: Normalized difference vegetation index (II) Answering the public top questions about multispectral imaging. (III) Real world examples for the usage of multispectral imaging in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Multispectral Imaging.




Multispectral Satellite Image Understanding


Book Description

This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, the book describes a system for the effective detection of single houses and streets in very high resolution. Topics and features: with a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center; provides end-of-chapter summaries and review questions; presents a detailed review on remote sensing satellites; examines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indices; investigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic images; addresses the problem of detecting residential regions; describes a house and street network-detection subsystem; concludes with a summary of the key ideas covered in the book.




Ultra-Narrowband Multispectral Imaging


Book Description

This book provides insight into an unconventional modality of imaging where several spectral images are captured by a single snapshot under multi-laser illumination, ensuring high-speed imaging within extremely narrow spectral bands. This method has three distinct advantages, if compared to common commercial multispectral imaging systems - considerably improved spectral selectivity (or colour sensitivity) of imaging, avoided motion artefacts in the spectral image sets, and simpler/faster image processing as integrals over the spectral bands of imaging are replaced by numbers of the fixed working wavelengths. The basic principles and progress in this field are reviewed, focusing on applications for human skin diagnostics and printed forgery detection. The designs of ten different lab-developed prototypes that implement this method are described, along with results of their laboratory, clinical and/or forensic tests. This research leads to the development of new equipment and protocols for better skin diagnostics and the advanced detection of money, document, and artwork forgeries. Chapter 1 explains the basics of spectral imaging, including the main principles of multispectral and hyperspectral imaging. Chapter 2 introduces the snapshot multi-spectral-line imaging (SMSLI) method, focusing on lasers as multi-wavelength illumination sources. Chapter 3 describes multi-laser illumination designs while Chapter 4 presents main specifications of the lab-assembled prototype devices implementing such designs. Results of the test measurements confirming applicability of the developed solutions for analysis/mapping of colour pigments in clinical diagnostics and forgery detection are discussed in Chapters 5 and 6, respectively. This will be a valuable reference for laser and imaging professionals, photonics researchers and engineers, clinicians (dermatologists, plastic surgeons, oncologists), forensic experts, and students of physics, chemistry, biology, medicine, and engineering. Key Features: · Reviews techniques and applications of narrowband spectral imaging using multi-laser illumination. · Presents ten different prototypes for implementing the multi-spectral-line imaging method. · Discusses applications of spectral line imaging for human skin diagnostics and forgery detection.




Hyperspectral Imaging Remote Sensing


Book Description

A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems, how to choose the best algorithm for a particular application, and how to process and interpret hyperspectral imaging data. A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and viewgraphs for instructors. This is an essential text for senior undergraduate and graduate students looking to learn the fundamentals of imaging spectroscopy, and an invaluable reference for scientists and engineers working in the field.




Scientific Examination of Art


Book Description

Examines the application of scientific methods to the study and conservation of art and cultural properties. This work addresses scientific topics of broad interest, cutting across the boundaries of traditional disciplines and attracting up to 250 leadingresearchers in the field.




Multispectral Image Analysis Using the Object-Oriented Paradigm


Book Description

Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information extraction from imagery. This reference describes traditional image analysis techniques, introduces object-oriented technology, and discusses the benefits of object-based versus pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques for object classification. The author covers image enhancement methods, how to use ancillary data to constrain image segmentation, and concepts of semantic grouping of objects. He concludes by addressing accuracy assessment approaches. The accompanying downloadable resources present sample data that enable the use of different approaches to problem solving. Integrating remote sensing techniques and GIS analysis, Multispectral Image Analysis Using the Object-Oriented Paradigm distills new tools to extract information from remotely sensed data.




Multispectral Image Processing and Pattern Recognition


Book Description

A study of multispectral image processing and pattern recognition. It covers: geometric and orthogonal moments; minimum description length method for facet matching; an integrated vision system for ALV navigation; fuzzy Bayesian networks; and more.




Multispectral Image Sensors Using Metasurfaces


Book Description

This book presents how metasurfaces are exploited to develop new low-cost single sensor based multispectral cameras. Multispectral cameras extend the concept of conventional colour cameras to capture images with multiple color bands and with narrow spectral passbands. Images from a multispectral camera can extract significant amount of additional information that the human eye or a normal camera fails to capture and thus have important applications in precision agriculture, forestry, medicine, object identifications, and classifications. Conventional multispectral cameras are made up of multiple image sensors each externally fitted with a narrow passband wavelength filters, optics and multiple electronics. The need for multiple sensors for each band results in a number of problems such as being bulky, power hungry and suffering from image co-registration problems which in turn limits their wide usage. The above problems can be eliminated if a multispectral camera is developed using one single image sensor.​