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Hyperspectral Imaging

Hyperspectral Imaging
Techniques for Spectral Detection and Classification

by Chein-I Chang

  • Publisher : Springer Science & Business Media
  • Release : 2013-12-11
  • Pages : 370
  • ISBN : 1441991700
  • Language : En, Es, Fr & De
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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 Imaging

Hyperspectral Imaging
A Book

by Anonim

  • Publisher : Elsevier
  • Release : 2019-09-29
  • Pages : 800
  • ISBN : 0444639780
  • Language : En, Es, Fr & De
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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

The Future of Hyperspectral Imaging
A Book

by Stefano Selci

  • Publisher : MDPI
  • Release : 2019-11-20
  • Pages : 220
  • ISBN : 3039218220
  • Language : En, Es, Fr & De
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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 Technology in Food and Agriculture

Hyperspectral Imaging Technology in Food and Agriculture
A Book

by Bosoon Park,Renfu Lu

  • Publisher : Springer
  • Release : 2015-09-29
  • Pages : 403
  • ISBN : 1493928368
  • Language : En, Es, Fr & De
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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 Remote Sensing

Hyperspectral Imaging Remote Sensing
Physics, Sensors, and Algorithms

by Dimitris G. Manolakis,Ronald B. Lockwood,Thomas W. Cooley

  • Publisher : Cambridge University Press
  • Release : 2016-10-20
  • Pages : 129
  • ISBN : 1316033406
  • Language : En, Es, Fr & De
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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.

Hyperspectral Imaging Analysis and Applications for Food Quality

Hyperspectral Imaging Analysis and Applications for Food Quality
A Book

by N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman

  • Publisher : CRC Press
  • Release : 2018-11-16
  • Pages : 284
  • ISBN : 1351805959
  • Language : En, Es, Fr & De
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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 in Agriculture, Food and Environment

Hyperspectral Imaging in Agriculture, Food and Environment
A Book

by Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras

  • Publisher : BoD – Books on Demand
  • Release : 2018-08-01
  • Pages : 184
  • ISBN : 1789232902
  • Language : En, Es, Fr & De
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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 Technology: A Novel Method for Agricultural and Biosecurity Diagnostics

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

by Penghao Wang,Fang-Hao Wan,Bing Bing Zhou

  • Publisher : Frontiers Media SA
  • Release : 2021-12-22
  • Pages : 129
  • ISBN : 2889718417
  • Language : En, Es, Fr & De
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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

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
A Book

by Michael Vohland,András Jung

  • Publisher : MDPI
  • Release : 2021-05-14
  • Pages : 218
  • ISBN : 3036508783
  • Language : En, Es, Fr & De
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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 Imaging for Food Quality Analysis and Control

Hyperspectral Imaging for Food Quality Analysis and Control
A Book

by Da-Wen Sun

  • Publisher : Elsevier
  • Release : 2010-06-29
  • Pages : 496
  • ISBN : 9780080886282
  • Language : En, Es, Fr & De
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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

Hyperspectral Imaging Remote Sensing
Physics, Sensors, and Algorithms

by Dimitris Manolakis,Ronald Lockwood,Thomas Cooley

  • Publisher : Cambridge University Press
  • Release : 2016-10-31
  • Pages : 720
  • ISBN : 1107083664
  • Language : En, Es, Fr & De
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Understand the seminal principles, current techniques, and tools of imaging spectroscopy with this self-contained introductory guide.

Surficial Geology, Spectral-reflectance Characteristics and Their Influence on Hyperspectral Imaging as a Drift-prospecting Technique for Kimberlite in the Diavik Diamond Mine Area, Northwest Territories

Surficial Geology, Spectral-reflectance Characteristics and Their Influence on Hyperspectral Imaging as a Drift-prospecting Technique for Kimberlite in the Diavik Diamond Mine Area, Northwest Territories
A Book

by Daniel E. Kerr

  • Publisher : Unknown Publisher
  • Release : 2002
  • Pages : 8
  • ISBN : 0660187248
  • Language : En, Es, Fr & De
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Both airborne & ground hyperspectral surveys have recently been undertaken as potential exploration methods for a variety of mineral deposit types in glaciated regions. This paper reviews a project that aims to summarize the surficial geology & glacial stratigraphy in the Lac de Gras kimberlite field in order to assess hyperspectral ground surveys as a drift prospecting technique for kimberlite in an area with varied overburden thickness. It describes the area's regional geology & glacial history, the reasons for lack of kimberlite indicator minerals above some kimberlite pipes, and the spectral reflectance response of bedrock exposures, kimberlite, and various till samples collected in the area. Limitations of using spectral reflectance data in drift prospecting are also discussed.

Hyperspectral imagery warfighting through a different set of eyes

Hyperspectral imagery warfighting through a different set of eyes
A Book

by Anonim

  • Publisher : DIANE Publishing
  • Release : 2022
  • Pages : 129
  • ISBN : 1428990216
  • Language : En, Es, Fr & De
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Development of an AOTF-based Hyperspectral Imager for Atmospheric Remote Sensing

Development of an AOTF-based Hyperspectral Imager for Atmospheric Remote Sensing
A Book

by Emmanuel Dekemper

  • Publisher : Presses universitaires de Louvain
  • Release : 2014-11-07
  • Pages : 198
  • ISBN : 2875583441
  • Language : En, Es, Fr & De
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This work addresses important aspects in the development of a new spaceborne instrument called ALTIUS. The imaging capability is first applied to the inversion of atmospheric pressure profiles from the analysis of the apparent flattening of a setting...

Hyperspectral Imagery

Hyperspectral Imagery
Warfighting Through a Different Set of Eyes

by Paul J. Pabich

  • Publisher : Unknown Publisher
  • Release : 2002
  • Pages : 59
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Hyperspectral Imagery, or HSI, is a sophisticated, versatile intelligence gathering technology that could potentially enable the US military to make significant strides towards improving the preparation for and execution of its missions. Many of the difficulties in bringing the promise of HSI to fruition have very little to do with the technology itself. As will be discussed shortly, HSI technology has been successfully demonstrated in a variety of diverse applications. In point of fact, it is the versatility of HSI that may be hindering its implementation into the mainstream of the U.S. military's intelligence gathering capability. The objective of this paper is threefold. The first goal is to introduce the reader to both the technology itself and the myriad potential applications of Hyperspectral Imagery. The second goal is to realistically examine the challenges that HSI must overcome, specifically in the areas of how HSI fits into the world of joint vision, intelligence doctrine, and the intelligence cycle. Finally, the paper will provide a series of recommendations some focused on organizational issues and others on acquisition issues that will address the majority of the challenges faced by the intelligence community as they endeavor to incorporate an HSI capability into the U.S. intelligence community.

Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition

Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition
A Book

by Zohaib Khan

  • Publisher : Unknown Publisher
  • Release : 2014
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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[Truncated abstract] Hyperspectral imaging, also known as imaging spectroscopy, captures a data cube of a scene in two spatial and one spectral dimension. Hyperspectral image analysis refers to the operations which lead to quantitative and qualitative characterization of a hyperspectral image. This thesis contributes to hyperspectral imaging and analysis methods at multiple levels. In a tunable filter based hyperspectral imaging system, the recovery of spectral reflectance is a challenging task due to limiting filter transmission, illumination bias and band misalignment. This thesis proposes a hyperspectral imaging technique which adaptively recovers spectral reflectance from raw hyperspectral images captured by automatic exposure adjustment. A spectrally invariant self similarity feature is presented for cross spectral hyperspectral band alignment. Extensive experiments on an in-house developed multi-illuminant hyperspectral image database show a significant reduction in the mean recovery error.

Medical Imaging and Augmented Reality

Medical Imaging and Augmented Reality
4th International Workshop Tokyo, Japan, August 1-2, 2008, Proceedings

by Takeyoshi Dohi,Ichiro Sakuma,Hongen Liao

  • Publisher : Springer Science & Business Media
  • Release : 2008-07-16
  • Pages : 441
  • ISBN : 3540799818
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 4th International Workshop on Medical Imaging and Augmented Reality, MIAR 2008, held in Tokyo, Japan, in August 2008. The 44 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on surgical planning and simulation, medical image computing, image analysis, shape modeling and morphometry, image-guided robotics, image-guided intervention, interventional imaging, image registration, augmented reality, and image segmentation.

Techniques and Applications of Hyperspectral Image Analysis

Techniques and Applications of Hyperspectral Image Analysis
A Book

by Hans Grahn,Paul Geladi

  • Publisher : John Wiley & Sons
  • Release : 2007-09-27
  • Pages : 390
  • ISBN : 9780470010877
  • Language : En, Es, Fr & De
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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.

Chemometrics in Food Chemistry

Chemometrics in Food Chemistry
Chapter 9. Hyperspectral Imaging and Chemometrics: A Perfect Combination for the Analysis of Food Structure, Composition and Quality

by José Manuel Amigo,Idoia Martí,Aoife Gowen

  • Publisher : Elsevier Inc. Chapters
  • Release : 2013-06-08
  • Pages : 512
  • ISBN : 0128083301
  • Language : En, Es, Fr & De
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Computer vision systems have become typical tools of increasing importance to control manufacturing processes and product quality in a non-destructive manner in food industrial processing. During the past several years, we have heard about how hyperspectral imaging, joined with chemometrics, could offer a set of possibilities that may help to increase the control of the final quality assessment in production lines. This chapter will not review the main applications of HSI and chemometrics for food quality assessment, since this has already been extensively covered in several reviews. Instead, we will discuss the application and feasibility of the main chemometric techniques applied to different foodstuffs. The reader will be provided with a detailed overview of how to use chemometrics in hyperspectral data, along with a critical discussion on their respective advantages and potential pitfalls. The examples that we will use for this purpose are the detection of water in cheese, classification of bitterness in almonds in a set of samples, detection and classification of contaminants in cheese, and hydration of chickpeas during soaking.

Hyperspectral Imaging

Hyperspectral Imaging
Techniques for Spectral Detection and Classification

by Chein-I Chang

  • Publisher : Springer
  • Release : 2003-07-31
  • Pages : 370
  • ISBN : 9780306474835
  • Language : En, Es, Fr & De
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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.