SGM to Solve NMF – Application to Hyperspectral Data
This book is a collection of 19 articles which reflect the courses given at the Collège de France/Summer school “Reconstruction d'images − Applications astrophysiques“ held in Nice and Fréjus, France, from June 18 to 22, 2012. The articles presented in this volume address emerging concepts and metho...
Tallennettuna:
| Päätekijät: | , , |
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| Aineistotyyppi: | Online |
| Kieli: | englanti |
| Julkaistu: |
EDP SCIENCES
2022
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| Aiheet: | |
| Linkit: | ONIX_20220304_9782759809585_60 |
| Tagit: |
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Samankaltaisia teoksia: SGM to Solve NMF – Application to Hyperspectral Data
- Constrained Minimization Algorithms. Linear Models
- Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-image Methods
- Restoration of Hyperspectral Astronomical Data with Spectrally Varying Blur
- MCMC Algorithms for Supervised and Unsupervised Linear Unmixing of Hyperspectral Images
- The Fresnel Diffraction: A Story of Light and Darkness
- High Angular Resolution and Young Stellar Objects: Imaging the Surroundings of MWC 158 by Optical Interferometry