Hyperspectral Imaging

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Hyperspectral Imaging

Anonim
Hyperspectral Imaging Book PDF

Author : Anonim
Publisher : Elsevier
Page : 800 pages
File Size : 45,8 Mb
Release : 2019-09-29
Category : Science
ISBN : 9780444639783

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Hyperspectral Imaging by Anonim Pdf

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

The Future of Hyperspectral Imaging

Stefano Selci
The Future of Hyperspectral Imaging Book PDF

Author : Stefano Selci
Publisher : MDPI
Page : 220 pages
File Size : 46,8 Mb
Release : 2019-11-20
Category : Science
ISBN : 9783039218226

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The Future of Hyperspectral Imaging by Stefano Selci Pdf

This book includes some very recent applications and the newest emerging trends of hyper-spectral imaging (HSI). HSI is a very recent and strange beast, a sort of a melting pot of previous techniques and scientific interests, merging and concentrating the efforts of physicists, chemists, botanists, biologists, and physicians, to mention just a few, as well as experts in data crunching and statistical elaboration. For almost a century, scientific observation, from looking to planets and stars down to our own cells and below, could be divided into two main categories: analyzing objects on the basis of their physical dimension (recording size, position, weight, etc. and their variations) or on how the object emits, reflects, or absorbs part of the electromagnetic spectrum, i.e., spectroscopy. While the two aspects have been obviously entangled, instruments and skills have always been clearly distinct from each other. With HSI now available, this is no longer the case. This instrument can return specimen dimensionalities and spectroscopic properties to any single pixel of your specimen, in a single set of data. HSI modality is ubiquitous and scale-invariant enough to be used to mark terrestrial resources on the basis of a land map obtained from satellite observation (actually, the oldest application of this type) or to understand if the cell you are looking at is cancerous or perfectly healthy. For all these reasons, HSI represents one of the most exciting methodologies of the new millennium.

Hyperspectral Imaging

Chein-I Chang
Hyperspectral Imaging Book PDF

Author : Chein-I Chang
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 40,5 Mb
Release : 2013-12-11
Category : Computers
ISBN : 9781441991706

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Hyperspectral Imaging by Chein-I Chang Pdf

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.

Hyperspectral Image Analysis

Saurabh Prasad,Jocelyn Chanussot
Hyperspectral Image Analysis Book PDF

Author : Saurabh Prasad,Jocelyn Chanussot
Publisher : Springer Nature
Page : 464 pages
File Size : 41,6 Mb
Release : 2020-04-27
Category : Computers
ISBN : 9783030386177

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Hyperspectral Image Analysis by Saurabh Prasad,Jocelyn Chanussot Pdf

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.

Hyperspectral Imaging Technology in Food and Agriculture

Bosoon Park,Renfu Lu
Hyperspectral Imaging Technology in Food and Agriculture Book PDF

Author : Bosoon Park,Renfu Lu
Publisher : Springer
Page : 403 pages
File Size : 55,7 Mb
Release : 2015-09-29
Category : Technology & Engineering
ISBN : 9781493928361

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Hyperspectral Imaging Technology in Food and Agriculture by Bosoon Park,Renfu Lu Pdf

Hyperspectral imaging or imaging spectroscopy is a novel technology for acquiring and analysing an image of a real scene by computers and other devices in order to obtain quantitative information for quality evaluation and process control. Image processing and analysis is the core technique in computer vision. With the continuous development in hardware and software for image processing and analysis, the application of hyperspectral imaging has been extended to the safety and quality evaluation of meat and produce. Especially in recent years, hyperspectral imaging has attracted much research and development attention, as a result rapid scientific and technological advances have increasingly taken place in food and agriculture, especially on safety and quality inspection, classification and evaluation of a wide range of food products, illustrating the great advantages of using the technology for objective, rapid, non-destructive and automated safety inspection as well as quality control. Therefore, as the first reference book in the area, Hyperspectral Imaging Technology in Food and Agriculture focuses on these recent advances. The book is divided into three parts, which begins with an outline of the fundamentals of the technology, followed by full covering of the application in the most researched areas of meats, fruits, vegetables, grains and other foods, which mostly covers food safety and quality as well as remote sensing applicable for crop production. Hyperspectral Imaging Technology in Food and Agriculture is written by international peers who have both academic and professional credentials, with each chapter addressing in detail one aspect of the relevant technology, thus highlighting the truly international nature of the work. Therefore the book should provide the engineer and technologist working in research, development, and operations in the food and agricultural industry with critical, comprehensive and readily accessible information on the art and science of hyperspectral imaging technology. It should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions.

Hyperspectral Imaging for Food Quality Analysis and Control

Da-Wen Sun
Hyperspectral Imaging for Food Quality Analysis and Control Book PDF

Author : Da-Wen Sun
Publisher : Elsevier
Page : 496 pages
File Size : 50,8 Mb
Release : 2010-06-29
Category : Technology & Engineering
ISBN : 0080886280

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Hyperspectral Imaging for Food Quality Analysis and Control by Da-Wen Sun Pdf

Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments. Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products. Presentation of principles and instruments provides core understanding of how this science performs, as well as guideline on selecting the most appropriate equipment for implementation Includes real-world, practical application to demonstrate the viability and challenges of working with this technology Provides necessary information for making correct determination on use of hyperspectral imaging

Hyperspectral Imaging Remote Sensing

Dimitris G. Manolakis,Ronald B. Lockwood,Thomas W. Cooley
Hyperspectral Imaging Remote Sensing Book PDF

Author : Dimitris G. Manolakis,Ronald B. Lockwood,Thomas W. Cooley
Publisher : Cambridge University Press
Page : 701 pages
File Size : 41,7 Mb
Release : 2016-10-20
Category : Science
ISBN : 9781107083660

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Hyperspectral Imaging Remote Sensing by Dimitris G. Manolakis,Ronald B. Lockwood,Thomas W. Cooley Pdf

Understand the seminal principles, current techniques, and tools of imaging spectroscopy with this self-contained introductory guide.

Hyperspectral Imaging Analysis and Applications for Food Quality

N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman
Hyperspectral Imaging Analysis and Applications for Food Quality Book PDF

Author : N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman
Publisher : CRC Press
Page : 527 pages
File Size : 44,6 Mb
Release : 2018-11-16
Category : Technology & Engineering
ISBN : 9781351805940

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Hyperspectral Imaging Analysis and Applications for Food Quality by N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman Pdf

In processing food, hyperspectral imaging, combined with intelligent software, enables digital sorters (or optical sorters) to identify and remove defects and foreign material that are invisible to traditional camera and laser sorters. Hyperspectral Imaging Analysis and Applications for Food Quality explores the theoretical and practical issues associated with the development, analysis, and application of essential image processing algorithms in order to exploit hyperspectral imaging for food quality evaluations. It outlines strategies and essential image processing routines that are necessary for making the appropriate decision during detection, classification, identification, quantification, and/or prediction processes. Features Covers practical issues associated with the development, analysis, and application of essential image processing for food quality applications Surveys the breadth of different image processing approaches adopted over the years in attempting to implement hyperspectral imaging for food quality monitoring Explains the working principles of hyperspectral systems as well as the basic concept and structure of hyperspectral data Describes the different approaches used during image acquisition, data collection, and visualization The book is divided into three sections. Section I discusses the fundamentals of Imaging Systems: How can hyperspectral image cube acquisition be optimized? Also, two chapters deal with image segmentation, data extraction, and treatment. Seven chapters comprise Section II, which deals with Chemometrics. One explains the fundamentals of multivariate analysis and techniques while in six other chapters the reader will find information on and applications of a number of chemometric techniques: principal component analysis, partial least squares analysis, linear discriminant model, support vector machines, decision trees, and artificial neural networks. In the last section, Applications, numerous examples are given of applications of hyperspectral imaging systems in fish, meat, fruits, vegetables, medicinal herbs, dairy products, beverages, and food additives.

Techniques and Applications of Hyperspectral Image Analysis

Hans Grahn,Paul Geladi
Techniques and Applications of Hyperspectral Image Analysis Book PDF

Author : Hans Grahn,Paul Geladi
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 52,7 Mb
Release : 2007-09-27
Category : Science
ISBN : 0470010878

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Techniques and Applications of Hyperspectral Image Analysis by Hans Grahn,Paul Geladi Pdf

Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral techniques, and includes definitions and instrument descriptions. Other imaging topics that are covered are segmentation, regression and classification. The book discusses how high quality images of large data files can be structured and archived. Imaging techniques also demand accurate calibration, and are covered in sections about multivariate calibration techniques. The book explains the most important instruments for hyperspectral imaging in more technical detail. A number of applications from medical and chemical imaging are presented and there is an emphasis on data analysis including modeling, data visualization, model testing and statistical interpretation.

Hyperspectral Imaging in Agriculture, Food and Environment

Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras
Hyperspectral Imaging in Agriculture Food and Environment Book PDF

Author : Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras
Publisher : BoD – Books on Demand
Page : 186 pages
File Size : 44,8 Mb
Release : 2018-08-01
Category : Technology & Engineering
ISBN : 9781789232905

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Hyperspectral Imaging in Agriculture, Food and Environment by Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras Pdf

This book is about the novel aspects and future trends of the hyperspectral imaging in agriculture, food, and environment. The topics covered by this book are hyperspectral imaging and their applications in the nondestructive quality assessment of fruits and vegetables, hyperspectral imaging for assessing quality and safety of meat, multimode hyperspectral imaging for food quality and safety, models fitting to pattern recognition in hyperspectral images, sequential classification of hyperspectral images, graph construction for hyperspectral data unmixing, target visualization method to process hyperspectral image, and soil contamination mapping with hyperspectral imagery. This book is a general reference work for students, professional engineers, and readers with interest in the subject.

Hyperspectral Imaging Analysis and Applications for Food Quality

N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman
Hyperspectral Imaging Analysis and Applications for Food Quality Book PDF

Author : N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman
Publisher : CRC Press
Page : 284 pages
File Size : 54,6 Mb
Release : 2018-11-16
Category : Technology & Engineering
ISBN : 9781351805957

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Hyperspectral Imaging Analysis and Applications for Food Quality by N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman Pdf

In processing food, hyperspectral imaging, combined with intelligent software, enables digital sorters (or optical sorters) to identify and remove defects and foreign material that are invisible to traditional camera and laser sorters. Hyperspectral Imaging Analysis and Applications for Food Quality explores the theoretical and practical issues associated with the development, analysis, and application of essential image processing algorithms in order to exploit hyperspectral imaging for food quality evaluations. It outlines strategies and essential image processing routines that are necessary for making the appropriate decision during detection, classification, identification, quantification, and/or prediction processes. Features Covers practical issues associated with the development, analysis, and application of essential image processing for food quality applications Surveys the breadth of different image processing approaches adopted over the years in attempting to implement hyperspectral imaging for food quality monitoring Explains the working principles of hyperspectral systems as well as the basic concept and structure of hyperspectral data Describes the different approaches used during image acquisition, data collection, and visualization The book is divided into three sections. Section I discusses the fundamentals of Imaging Systems: How can hyperspectral image cube acquisition be optimized? Also, two chapters deal with image segmentation, data extraction, and treatment. Seven chapters comprise Section II, which deals with Chemometrics. One explains the fundamentals of multivariate analysis and techniques while in six other chapters the reader will find information on and applications of a number of chemometric techniques: principal component analysis, partial least squares analysis, linear discriminant model, support vector machines, decision trees, and artificial neural networks. In the last section, Applications, numerous examples are given of applications of hyperspectral imaging systems in fish, meat, fruits, vegetables, medicinal herbs, dairy products, beverages, and food additives.

Hyperspectral Imaging Technology: A Novel Method for Agricultural and Biosecurity Diagnostics

Penghao Wang,Fang-Hao Wan,Bing Bing Zhou
Hyperspectral Imaging Technology A Novel Method for Agricultural and Biosecurity Diagnostics Book PDF

Author : Penghao Wang,Fang-Hao Wan,Bing Bing Zhou
Publisher : Frontiers Media SA
Page : 137 pages
File Size : 51,9 Mb
Release : 2021-12-22
Category : Science
ISBN : 9782889718412

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Hyperspectral Imaging Technology: A Novel Method for Agricultural and Biosecurity Diagnostics by Penghao Wang,Fang-Hao Wan,Bing Bing Zhou Pdf

Prof. Zhou holds patents on the management of agricultural pests. All other Topic Editors declare no competing interests with regard to the Research Topic subject.

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

Michael Vohland,András Jung
Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences Book PDF

Author : Michael Vohland,András Jung
Publisher : MDPI
Page : 218 pages
File Size : 54,5 Mb
Release : 2021-05-14
Category : Science
ISBN : 9783036508788

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Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences by Michael Vohland,András Jung Pdf

The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of papers in various fields of environmental sciences—geology/mineral exploration, digital soil mapping, mapping and characterization of vegetation, and sensing of water bodies (including under-ice and underwater applications). In addition, there are two rather methodically/technically-oriented contributions dealing with the optimized processing of UAV data and on the design and test of a multi-channel optical receiver for ground-based applications. All in all, this compilation documents that HSI is a multi-faceted research topic and will remain so in the future.

Hyperspectral Remote Sensing

Marcus Borengasser,William S. Hungate,Russell Watkins
Hyperspectral Remote Sensing Book PDF

Author : Marcus Borengasser,William S. Hungate,Russell Watkins
Publisher : CRC Press
Page : 130 pages
File Size : 50,6 Mb
Release : 2007-12-13
Category : Technology & Engineering
ISBN : 9781420012606

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Hyperspectral Remote Sensing by Marcus Borengasser,William S. Hungate,Russell Watkins Pdf

Land management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features, require an understanding of complex technical issues before the best decisions can be made. Hyperspectral remote sensing is one the technologies that can help with reliable detection and identification. Presenting the fundamenta

Advances in Hyperspectral Image Processing Techniques

Chein-I Chang
Advances in Hyperspectral Image Processing Techniques Book PDF

Author : Chein-I Chang
Publisher : John Wiley & Sons
Page : 612 pages
File Size : 53,8 Mb
Release : 2022-11-09
Category : Technology & Engineering
ISBN : 9781119687771

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Advances in Hyperspectral Image Processing Techniques by Chein-I Chang Pdf

Advances in Hyperspectral Image Processing Techniques Authoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications Advances in Hyperspectral Image Processing Techniques is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored and have led to various new directions in the past few years. The work gathers an array of disparate research into one resource and explores its numerous applications across a wide variety of disciplinary areas. In particular, it includes an introductory chapter on fundamentals of HSI and a chapter on extensive use of HSI techniques in satellite on-orbit and on-board processing to aid readers involved in these specific fields. The book’s content is based on the expertise of invited scholars and is categorized into six parts. Part I provides general theory. Part II presents various Band Selection techniques for Hyperspectral Images. Part III reviews recent developments on Compressive Sensing for Hyperspectral Imaging. Part IV includes Fusion of Hyperspectral Images. Part V covers Hyperspectral Data Unmixing. Part VI offers different views on Hyperspectral Image Classification. Specific sample topics covered in Advances in Hyperspectral Image Processing Techniques include: Two fundamental principles of hyperspectral imaging Constrained band selection for hyperspectral imaging and class information-based band selection for hyperspectral image classification Restricted entropy and spectrum properties for hyperspectral imaging and endmember finding in compressively sensed band domain Hyperspectral and LIDAR data fusion, fusion of band selection methods for hyperspectral imaging, and fusion using multi-dimensional information Advances in spectral unmixing of hyperspectral data and fully constrained least squares linear spectral mixture analysis Sparse representation-based hyperspectral image classification; collaborative hyperspectral image classification; class-feature weighted hyperspectral image classification; target detection approach to hyperspectral image classification With many applications beyond traditional remote sensing, ranging from defense and intelligence, to agriculture, to forestry, to environmental monitoring, to food safety and inspection, to medical imaging, Advances in Hyperspectral Image Processing Techniques is an essential resource on the topic for industry professionals, researchers, academics, and graduate students working in the field.