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...
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| Үндсэн зохиолч: | |
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| Формат: | Online |
| Хэл сонгох: | англи |
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KIT Scientific Publishing
2021
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| Нөхцлүүд: | |
| Онлайн хандалт: | 34233 |
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Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869514635508449280 |
|---|---|
| author | Bauer, Sebastian |
| author_browse | Bauer, Sebastian |
| author_facet | Bauer, Sebastian |
| author_sort | Bauer, Sebastian |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-49739 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-497392024-04-09T23:16:20Z Hyperspectral Image Unmixing Incorporating Adjacency Information Bauer, Sebastian T1-995 Spektrale Entmischung spectral unmixing Blinde Quellentrennung Hyperspectral image processing Nichtnegative Matrixzerlegung nonnegative matrix factorization blind source separation Hyperspektrale Bildverarbeitung thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2021-02-11T15:43:10Z 2021-02-11T15:43:10Z 2019-07-28 18:37:01 2018 book 34233 21906629 9783731507888 https://directory.doabooks.org/handle/20.500.12854/49739 eng Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731507888 KIT Scientific Publishing 10.5445/KSP/1000081665 10.5445/KSP/1000081665 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731507888 XIII, 203 p. open access |
| spellingShingle | T1-995 Spektrale Entmischung spectral unmixing Blinde Quellentrennung Hyperspectral image processing Nichtnegative Matrixzerlegung nonnegative matrix factorization blind source separation Hyperspektrale Bildverarbeitung thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Bauer, Sebastian Hyperspectral Image Unmixing Incorporating Adjacency Information |
| 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_short | Hyperspectral Image Unmixing Incorporating Adjacency Information |
| title_sort | hyperspectral image unmixing incorporating adjacency information |
| topic | T1-995 Spektrale Entmischung spectral unmixing Blinde Quellentrennung Hyperspectral image processing Nichtnegative Matrixzerlegung nonnegative matrix factorization blind source separation Hyperspektrale Bildverarbeitung thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | T1-995 Spektrale Entmischung spectral unmixing Blinde Quellentrennung Hyperspectral image processing Nichtnegative Matrixzerlegung nonnegative matrix factorization blind source separation Hyperspektrale Bildverarbeitung thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | 34233 |
| work_keys_str_mv | AT bauersebastian hyperspectralimageunmixingincorporatingadjacencyinformation |