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Hyperspectral Image Unmixing Incorporating Adjacency Information
Bauer, Sebastian
2018
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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.
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Keywords
- blind source separation
- Blinde Quellentrennung
- hyperspectral image processing
- Hyperspektrale Bildverarbeitung
- Nichtnegative Matrixzerlegung
- nonnegative matrix factorization
- spectral unmixing
- Spektrale Entmischung
- Technology, engineering, agriculture
- Technology: general issues
Links
DOI: 10.5445/KSP/1000081665Editions