Hyperspectral Image Unmixing Incorporating Adjacency Information

• Format: eBook
• Language: English
• Published: KIT Scientific Publishing 2018
• Series: Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
• Subjects: Technology: general issues; blind source separation; Blinde Quellentrennung; Hyperspectral image processing; Hyperspektrale Bildverarbeitung; Nichtnegative Matrixzerlegung; nonnegative matrix factorization; spectral unmixing; Spektrale Entmischung
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (XIII, 203 p. p.)
• ISBN: 9783731507888; KSP/1000081665
• Access: Open Access

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.