Hyperspectral Imaging

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  • Author : Chein-I Chang
  • Publisher : Springer Science & Business Media
  • Pages : 370 pages
  • ISBN : 1441991700
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Hyperspectral Imaging

Download or Read online Hyperspectral Imaging full in PDF, ePub and kindle. this book written by Chein-I Chang and published by Springer Science & Business Media which was released on 11 December 2013 with total page 370 pages. We cannot guarantee that Hyperspectral Imaging book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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
  • Author : Chein-I Chang
  • Publisher : Springer Science & Business Media
  • Release : 11 December 2013
GET THIS BOOK Hyperspectral Imaging

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 Imaging

Hyperspectral Imaging
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 29 September 2019
GET THIS BOOK Hyperspectral Imaging

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

Hyperspectral Imaging Technology in Food and Agriculture

Hyperspectral Imaging Technology in Food and Agriculture
  • Author : Bosoon Park,Renfu Lu
  • Publisher : Springer
  • Release : 29 September 2015
GET THIS BOOK Hyperspectral Imaging Technology in Food and Agriculture

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

The Future of Hyperspectral Imaging

The Future of Hyperspectral Imaging
  • Author : Stefano Selci
  • Publisher : MDPI
  • Release : 20 November 2019
GET THIS BOOK The Future of Hyperspectral Imaging

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

Hyperspectral Imaging Remote Sensing

Hyperspectral Imaging Remote Sensing
  • Author : Dimitris G. Manolakis,Ronald B. Lockwood,Thomas W. Cooley
  • Publisher : Cambridge University Press
  • Release : 20 October 2016
GET THIS BOOK Hyperspectral Imaging Remote Sensing

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

Hyperspectral Imaging Analysis and Applications for Food Quality

Hyperspectral Imaging Analysis and Applications for Food Quality
  • Author : N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman
  • Publisher : CRC Press
  • Release : 16 November 2018
GET THIS BOOK Hyperspectral Imaging Analysis and Applications for Food Quality

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

Hyperspectral Imaging in Agriculture Food and Environment

Hyperspectral Imaging in Agriculture  Food and Environment
  • Author : Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras
  • Publisher : BoD – Books on Demand
  • Release : 01 August 2018
GET THIS BOOK Hyperspectral Imaging in Agriculture Food and Environment

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

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
  • Author : Michael Vohland,András Jung
  • Publisher : MDPI
  • Release : 14 May 2021
GET THIS BOOK Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

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

Hyperspectral Imaging for Food Quality Analysis and Control

Hyperspectral Imaging for Food Quality Analysis and Control
  • Author : Da-Wen Sun
  • Publisher : Elsevier
  • Release : 29 June 2010
GET THIS BOOK Hyperspectral Imaging for Food Quality Analysis and Control

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

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
  • Author : Daniel E. Kerr
  • Publisher : Unknown
  • Release : 16 May 2022
GET THIS BOOK 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

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

Hyperspectral Imagery

Hyperspectral Imagery
  • Author : Paul J. Pabich
  • Publisher : Unknown
  • Release : 16 May 2022
GET THIS BOOK Hyperspectral Imagery

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

Medical Imaging and Augmented Reality

Medical Imaging and Augmented Reality
  • Author : Takeyoshi Dohi,Ichiro Sakuma,Hongen Liao
  • Publisher : Springer Science & Business Media
  • Release : 16 July 2008
GET THIS BOOK Medical Imaging and Augmented Reality

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.

Hyperspectral Remote Sensing of Agriculture and Vegetation

Hyperspectral Remote Sensing of Agriculture and Vegetation
  • Author : Simone Pascucci,Stefano Pignatti,Raffaele Casa,Roshanak Darvishzadeh,Wenjiang Huang
  • Publisher : MDPI
  • Release : 20 January 2021
GET THIS BOOK Hyperspectral Remote Sensing of Agriculture and Vegetation

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging