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 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.

Produk Detail:

  • Author : Chein-I Chang
  • Publisher : Springer Science & Business Media
  • Pages : 370 pages
  • ISBN : 1441991700
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKHyperspectral Imaging

Hyperspectral Imaging

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

Hyperspectral Imaging
  • Author : Chein-I Chang
  • Publisher : Springer Science & Business Media
  • Release : 11 December 2013
GET THIS BOOKHyperspectral 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

The Future of Hyperspectral Imaging

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

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 BOOKHyperspectral 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 Imagery

Hyperspectral Imagery
  • Author : Paul J. Pabich
  • Publisher : Unknown Publisher
  • Release : 13 April 2021
GET THIS BOOKHyperspectral 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

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 BOOKHyperspectral 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

Hyperspectral Data Processing

Hyperspectral Data Processing
  • Author : Chein-I Chang
  • Publisher : John Wiley & Sons
  • Release : 01 February 2013
GET THIS BOOKHyperspectral Data Processing

Hyperspectral Data Processing: Algorithm Design andAnalysis is a culmination of the research conducted in theRemote Sensing Signal and Image Processing Laboratory (RSSIPL) atthe University of Maryland, Baltimore County. Specifically, ittreats hyperspectral image processing and hyperspectral signalprocessing as separate subjects in two different categories. Mostmaterials covered in this book can be used in conjunction with theauthor’s first book, Hyperspectral Imaging: Techniques forSpectral Detection and Classification, without muchoverlap. Many results in this book are either new or have not beenexplored, presented,

Fourier Transforms

Fourier Transforms
  • Author : Goran Nikolic,Dragan Cvetkovic,Milorad Cakic
  • Publisher : BoD – Books on Demand
  • Release : 08 February 2017
GET THIS BOOKFourier Transforms

The main purpose of this book is to provide a modern review about recent advances in Fourier transforms as the most powerful analytical tool for high-tech application in electrical, electronic, and computer engineering, as well as Fourier transform spectral techniques with a wide range of biological, biomedical, biotechnological, pharmaceutical, and nanotechnological applications. The confluence of Fourier transform methods with high tech opens new opportunities for detection and handling of atoms and molecules using nanodevices, with potential for a large variety

Hyperspectral Image Analysis

Hyperspectral Image Analysis
  • Author : Saurabh Prasad,Jocelyn Chanussot
  • Publisher : Springer Nature
  • Release : 27 April 2020
GET THIS BOOKHyperspectral Image Analysis

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

Hyperspectral Remote Sensing

Hyperspectral Remote Sensing
  • Author : Marcus Borengasser,William S. Hungate,Russell Watkins
  • Publisher : CRC Press
  • Release : 13 December 2007
GET THIS BOOKHyperspectral Remote Sensing

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 fundamentals of remote sensing at an introductory level, Hyperspectral Remote Sensing: Principles and Applications explores all major aspects of hyperspectral image acquisition, exploitation, interpretation, and applications. The book begins with several chapters on