Hyperspectral Image Unmixing Incorporating Adjacency Information

• Hoofdauteur: Bauer, Sebastian (auth)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: KIT Scientific Publishing 2018
• Reeks: Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
• Onderwerpen: Technology: general issues; Spektrale Entmischung; spectral unmixing; Blinde Quellentrennung; Hyperspectral image processing; Nichtnegative Matrixzerlegung; nonnegative matrix factorization; blind source separation; Hyperspektrale Bildverarbeitung
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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 decomposi...