01981nam 2200433z- 450 9910346716803321202102111000081665(CKB)4920000000094533(oapen)https://directory.doabooks.org/handle/20.500.12854/49739(oapen)doab49739(EXLCZ)99492000000009453320202102d2018 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierHyperspectral Image Unmixing Incorporating Adjacency InformationKIT Scientific Publishing20181 online resource (XIII, 203 p. p.)Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie3-7315-0788-9 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.Technology: general issuesbicsscblind source separationBlinde QuellentrennungHyperspectral image processingHyperspektrale BildverarbeitungNichtnegative Matrixzerlegungnonnegative matrix factorizationspectral unmixingSpektrale EntmischungTechnology: general issuesBauer Sebastianauth1292408BOOK9910346716803321Hyperspectral Image Unmixing Incorporating Adjacency Information3022273UNINA