Processing and Analysis of Hyperspectral Data

Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food an...

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格式: Online
語言:英语
出版: IntechOpen 2021
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collection Directory of Open Access Books
description Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.
format Online
id doab-20.500.12854ir-67224
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher IntechOpen
publisherStr IntechOpen
record_format ojs
spelling doab-20.500.12854ir-672242024-04-05T12:38:31Z Processing and Analysis of Hyperspectral Data Chen, Jie Song, Yingying Li, Hengchao Geophysics thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVG Geophysics Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods. 2021-04-20T16:06:57Z 2021-04-20T16:06:57Z 2020 book ONIX_20210420_9781789851106_2583 9781789851106 9781789851090 9781838804626 https://directory.doabooks.org/handle/20.500.12854/67224 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/8223/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.78179 10.5772/intechopen.78179 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789851106 9781789851090 9781838804626 IntechOpen 136 open access
spellingShingle Geophysics
thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVG Geophysics
Processing and Analysis of Hyperspectral Data
title Processing and Analysis of Hyperspectral Data
title_full Processing and Analysis of Hyperspectral Data
title_fullStr Processing and Analysis of Hyperspectral Data
title_full_unstemmed Processing and Analysis of Hyperspectral Data
title_short Processing and Analysis of Hyperspectral Data
title_sort processing and analysis of hyperspectral data
topic Geophysics
thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVG Geophysics
topic_facet Geophysics
thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVG Geophysics
url ONIX_20210420_9781789851106_2583