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Tuesday, May 5, 2020 | History

5 edition of Hyperspectral data exploitation found in the catalog.

Hyperspectral data exploitation

Hyperspectral data exploitation

theory and applications

  • 291 Want to read
  • 21 Currently reading

Published by Wiley-Interscience in Hoboken, NJ .
Written in English


Edition Notes

Statementedited by Chein-I Chang.
Classifications
LC ClassificationsG
The Physical Object
Paginationx, 430 p. :
Number of Pages430
ID Numbers
Open LibraryOL22751418M
ISBN 109780471746973

A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and 11 Hyperspectral Data Exploitation — Hyperspectral Imaging Remote Sensing. 2 Fundamentals of Subsample and Mixed Sample Analyses The issues of subpixels and mixed pixels, which have been briefly discussed in Chapter 1, are crucial in hyperspectral data exploitation. Dealing - Selection from Hyperspectral Data Processing: Algorithm Design and Analysis [Book].

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. Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore ically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories.

6 Data Dimensionality Reduction Dimensionality reduction (DR) has been used in hyperspectral data exploitation for various purposes. In particular, it has been used as a preprocessing technique to reduce a - Selection from Hyperspectral Data Processing: Algorithm Design and Analysis [Book]. @article{osti_, title = {Development of Research Infrastructure in Nevada for the Exploitation of Hyperspectral Image Data to Address Proliferation and Detection of Chemical and Biological Materials.}, author = {Taranik, James V}, abstractNote = {This research was to exploit hyperspectral reflectance imaging technology for the detection and mapping variability (clutter) of the natural.


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Hyperspectral data exploitation Download PDF EPUB FB2

Authored by a panel of experts in the field, this book focuses on hyperspectral image analysis, systems, and applications. With discussion of application-based projects and case studies, this professional reference will bring you up-to-date on this pervasive technology, wether you are working in the military and defense fields, or in remote sensing technology, geoscience, or agriculture.

Hyperspectral Data Exploitation: Theory and Applications by Chein-I Chang. Authored by a panel of experts in the field, this book focuses on hyperspectral image analysis, systems, and applications. With discussion of application-based projects and case studies, this professional reference will bring you up-to-date on this pervasive technology.

The book's twenty-five contributors represent some of the field's most important innovators and pioneers from around the world. It begins with an overview written by the editor that discusses the design theory underlying the development of hyperspectral imaging : $ : Hyperspectral Data Exploitation: Theory and Applications () and a great selection of similar New, Used and Collectible Books available now at great Range: $ - $ Authored by a panel of experts in the field, this book focuses on hyperspectral image analysis, systems, and applications.

With discussion of application-based projects and case studies, this professional reference will bring you up-to-date on this pervasive technology, wether you are working in the military and defense fields, or in remote sensing technology, geoscience, or agriculture.4/5(1).

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 Cited by: Hyperspectral data are characterized by sufficient information content and large volume they occupy, This leads to necessity to compress these data with preserving high quality of images.

Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County.

Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Hyperspectral Data Exploitation: Theory and Applications - Ebook written by Chein-I Chang.

Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Hyperspectral Data Exploitation: Theory and Applications.4/5(1). Particularly, in recent years, hyperspectral imaging has expanded its data exploitation in various areas ranging from defense, geology, agriculture, forestry, fishery, environmental monitoring to law enforcement, food safety and inspection, medical imaging, etc.

Hyperspectral Data Exploitation by Chein-I Chang,available at Book Depository with free delivery worldwide. Hyperspectral Data Exploitation: Chein-I Chang: We use cookies to give you the best possible experience.

Written by a panel of experts in the field, Hyperspectral Data Exploitation: Theory and Applications focuses on hyperspectral image analysis, systems, and applications.

Rating: (not yet rated) 0 with reviews - Be the first. Authored by a panel of experts in the field, this book focuses on hyperspectral image analysis, systems, and applications. With discussion of application-based projects and case studies, this professional reference will bring you up-to-date on this pervasive technology, wether you are working in the military and defense fields, or in remote sensing technology, geoscience, or agriculture.

Hyperspectral Data Exploitation: Theory and Applications Edited by Chein-I Chang Table of Contents 1. Chapter 1: Overview Chein-I Chang Remote Sensing Signal and Image Processing Laboratory University of Maryland, Baltimore County, Baltimore, MD, USA PRAT I: TUTORALS 2.

Chapter 2: Hyperspectral Imaging Systems John P. Kerekes and John R. Schott. This book has been cited by the following publications.

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.

Hyperspectral Data Exploitation pp Get by: Get this from a library. Hyperspectral data exploitation: theory and applications. [Chein-I Chang;] -- Authored by a panel of experts in the field, this book focuses on hyperspectral image analysis, systems, and applications.

With discussion of application-based projects and case studies, this. Hyperspectral data exploitation; theory and applications. by Chein-I Chang. Wiley-Interscience pages $ Hardcover G70 This collection of articles explains the theory and practices behind this popular remote sensing technique.

Hyperspectral Data Exploitation: Theory and Applications Chein-I Chang. The rapid growth of interest in the use of hyperspectral imaging as a powerful remote sensing technique has been accompanied by hundreds of articles published in journals and conference proceedings.

and what new research is book's twenty-five contributors. 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 Compression edited by G.

Motta and J. Storer, Springer-Verlag Spectral/Spatial Hyperspectral Image Compression Bharath Ramakrishna1 Antonio J. Plaza1,2 Chein-I Chang1 Hsuan Ren3 Qian Du4 Chein-Chi Chang5 1Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering.

About this book. Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County.

Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories.Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County.

Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories.Download Citation | Hyperspectral Remote Sensing: Data Collection and Exploitation | Hyperspectral imaging (HSI) spectrometers are remote sensing instruments that acquire images in a large number.