Hyperspectral Image Unmixing Incorporating Adjacency Information

Hyperspectral Image Unmixing Incorporating Adjacency Information

While the spectral information contained in hyperspectral images is rich, the spatial resolution of such images is in many cases very low. Many pixel spectra are mixtures of pure materials’ spectra and therefore need to be decomposed into their constituents. This work investigates new decomposition...

Full description

Saved in:
Bibliographic Details
Superior document:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
:
Bauer, Sebastian
Year of Publication:2018
Language:English
Series:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
Physical Description:1 electronic resource (XIII, 203 p. p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993544113504498
ctrlnum (CKB)4920000000094533
(oapen)https://directory.doabooks.org/handle/20.500.12854/49739
(EXLCZ)994920000000094533
collection bib_alma
record_format marc
spelling Bauer, Sebastian auth
Hyperspectral Image Unmixing Incorporating Adjacency Information
KIT Scientific Publishing 2018
1 electronic resource (XIII, 203 p. p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
While the spectral information contained in hyperspectral images is rich, the spatial resolution of such images is in many cases very low. Many pixel spectra are mixtures of pure materials’ spectra and therefore need to be decomposed into their constituents. This work investigates new decomposition methods taking into account spectral, spatial and global 3D adjacency information. This allows for faster and more accurate decomposition results.
English
Spektrale Entmischung
spectral unmixing
Blinde Quellentrennung
Hyperspectral image processing
Nichtnegative Matrixzerlegung
nonnegative matrix factorization
blind source separation
Hyperspektrale Bildverarbeitung
3-7315-0788-9
language English
format eBook
author Bauer, Sebastian
spellingShingle Bauer, Sebastian
Hyperspectral Image Unmixing Incorporating Adjacency Information
Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
author_facet Bauer, Sebastian
author_variant s b sb
author_sort Bauer, Sebastian
title Hyperspectral Image Unmixing Incorporating Adjacency Information
title_full Hyperspectral Image Unmixing Incorporating Adjacency Information
title_fullStr Hyperspectral Image Unmixing Incorporating Adjacency Information
title_full_unstemmed Hyperspectral Image Unmixing Incorporating Adjacency Information
title_auth Hyperspectral Image Unmixing Incorporating Adjacency Information
title_new Hyperspectral Image Unmixing Incorporating Adjacency Information
title_sort hyperspectral image unmixing incorporating adjacency information
series Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
series2 Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
publisher KIT Scientific Publishing
publishDate 2018
physical 1 electronic resource (XIII, 203 p. p.)
isbn 1000081665
3-7315-0788-9
illustrated Not Illustrated
work_keys_str_mv AT bauersebastian hyperspectralimageunmixingincorporatingadjacencyinformation
status_str n
ids_txt_mv (CKB)4920000000094533
(oapen)https://directory.doabooks.org/handle/20.500.12854/49739
(EXLCZ)994920000000094533
carrierType_str_mv cr
hierarchy_parent_title Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
is_hierarchy_title Hyperspectral Image Unmixing Incorporating Adjacency Information
container_title Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
_version_ 1787548495944613888
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01779nam-a2200373z--4500</leader><controlfield tag="001">993544113504498</controlfield><controlfield tag="005">20231214133651.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202102s2018 xx |||||o ||| 0|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1000081665</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4920000000094533</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/49739</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994920000000094533</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bauer, Sebastian</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hyperspectral Image Unmixing Incorporating Adjacency Information</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">KIT Scientific Publishing</subfield><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (XIII, 203 p. p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">While the spectral information contained in hyperspectral images is rich, the spatial resolution of such images is in many cases very low. Many pixel spectra are mixtures of pure materials’ spectra and therefore need to be decomposed into their constituents. This work investigates new decomposition methods taking into account spectral, spatial and global 3D adjacency information. This allows for faster and more accurate decomposition results.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Spektrale Entmischung</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spectral unmixing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Blinde Quellentrennung</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Hyperspectral image processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Nichtnegative Matrixzerlegung</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nonnegative matrix factorization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">blind source separation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Hyperspektrale Bildverarbeitung</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-7315-0788-9</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 06:01:54 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2019-11-10 04:18:40 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5337496580004498&amp;Force_direct=true</subfield><subfield code="Z">5337496580004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337496580004498</subfield></datafield></record></collection>

Similar Items