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New Concepts in Imaging: Optical and Statistical Models / / David Mary, Claude Aime
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
Opac: Controlla la disponibilità qui
New Concepts in Imaging: Optical and Statistical Models / / David Mary, Claude Aime
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
Opac: Controlla la disponibilità qui