New Concepts in Imaging: Optical and Statistical Models / / David Mary, Claude Aime |
Autore | Mary David |
Pubbl/distr/stampa | EDP SCIENCES, 2013 |
Descrizione fisica | 1 online resource (452 p.) |
Collana | EAS Publication Series |
Soggetto topico | SCIENCE / Astronomy |
Soggetto non controllato |
Images
Applications astrophysiques Statistical models Optical models |
ISBN | 2-7598-2487-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- List of Participants -- Contents -- Foreword -- Physical Bases and New Challenges in High Resolution Imaging -- Hypertelescopes: The Challenge of Direct Imaging at High Resolution -- Optical Long Baseline Interferometry: Examples from VEGA/CHARA -- The Fresnel Diffraction: A Story of Light and Darkness -- Astronomical Imaging... Atmospheric Turbulence? Adaptive Optics! -- Introduction to Wavefront Coding for Incoherent Imaging -- Adaptive Optics Feedback Control -- SCIROCCO+: Simulation Code of Interferometric-observations for ROtators and CirCumstellar Objects including Non-Radial Pulsations -- High Angular Resolution and Young Stellar Objects: Imaging the Surroundings of MWC 158 by Optical Interferometry -- Physical Models and Data Processing -- Principles of Image Reconstruction in Interferometry ebaut1 -- Imaging Techniques in Millimetre Astronomy -- SMOS-NEXT: A New Concept for Soil Moisture Retrieval from Passive Interferometric Observations -- Formation, Simulation and Restoration of Hypertelescopes Images -- Statistical Models in Signal and Image Processing -- Introduction to the Restoration of Astrophysical Images by Multiscale Transforms and Bayesian Methods -- Constrained Minimization Algorithms. Linear Models -- Scaled Gradient Projection Methods for Astronomical Imaging -- SGM to Solve NMF - Application to Hyperspectral Data -- MCMC Algorithms for Supervised and Unsupervised Linear Unmixing of Hyperspectral Images -- Restoration of Hyperspectral Astronomical Data with Spectrally Varying Blur -- Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-image Methods -- Author Index |
Record Nr. | UNISA-996411339603316 |
Mary David | ||
EDP SCIENCES, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
New Concepts in Imaging: Optical and Statistical Models / / David Mary, Claude Aime |
Autore | Mary David |
Pubbl/distr/stampa | EDP SCIENCES, 2013 |
Descrizione fisica | 1 online resource (452 p.) |
Collana | EAS Publication Series |
Soggetto topico | SCIENCE / Astronomy |
Soggetto non controllato |
Images
Applications astrophysiques Statistical models Optical models |
ISBN | 2-7598-2487-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- List of Participants -- Contents -- Foreword -- Physical Bases and New Challenges in High Resolution Imaging -- Hypertelescopes: The Challenge of Direct Imaging at High Resolution -- Optical Long Baseline Interferometry: Examples from VEGA/CHARA -- The Fresnel Diffraction: A Story of Light and Darkness -- Astronomical Imaging... Atmospheric Turbulence? Adaptive Optics! -- Introduction to Wavefront Coding for Incoherent Imaging -- Adaptive Optics Feedback Control -- SCIROCCO+: Simulation Code of Interferometric-observations for ROtators and CirCumstellar Objects including Non-Radial Pulsations -- High Angular Resolution and Young Stellar Objects: Imaging the Surroundings of MWC 158 by Optical Interferometry -- Physical Models and Data Processing -- Principles of Image Reconstruction in Interferometry ebaut1 -- Imaging Techniques in Millimetre Astronomy -- SMOS-NEXT: A New Concept for Soil Moisture Retrieval from Passive Interferometric Observations -- Formation, Simulation and Restoration of Hypertelescopes Images -- Statistical Models in Signal and Image Processing -- Introduction to the Restoration of Astrophysical Images by Multiscale Transforms and Bayesian Methods -- Constrained Minimization Algorithms. Linear Models -- Scaled Gradient Projection Methods for Astronomical Imaging -- SGM to Solve NMF - Application to Hyperspectral Data -- MCMC Algorithms for Supervised and Unsupervised Linear Unmixing of Hyperspectral Images -- Restoration of Hyperspectral Astronomical Data with Spectrally Varying Blur -- Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-image Methods -- Author Index |
Record Nr. | UNINA-9910140525203321 |
Mary David | ||
EDP SCIENCES, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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