Hyperspectral Image Unmixing Incorporating Adjacency Information
Download or Read eBook Hyperspectral Image Unmixing Incorporating Adjacency Information PDF written by Bauer, Sebastian and published by KIT Scientific Publishing. This book was released on 2018-07-18 with total page 236 pages. Available in PDF, EPUB and Kindle.
| Author | : Bauer, Sebastian |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 236 |
| Release | : 2018-07-18 |
| ISBN-10 | : 9783731507888 |
| ISBN-13 | : 3731507889 |
| Rating | : 4/5 (88 Downloads) |
Book Synopsis Hyperspectral Image Unmixing Incorporating Adjacency Information by : Bauer, Sebastian
Book excerpt: 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.
