D. Mary, C. Theys and C. Aime
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 methods that are useful in the complex process of improving our knowledge of the celestial objects, including Earth.
Collection: EAS
ISBN: 978-2-7598-0958-5
March 2013
452 pages
Contents
Physical Bases and New Challenges in High Resolution Imaging
Hypertelescopes: The Challenge of Direct Imaging at High Resolution
A. Labeyrie.
Optical Long Baseline Interferometry: Examples from VEGA/CHARA
D. Mourard
The Fresnel Diffraction: A Story of Light and Darkness
C. Aime, É. Aristidi and Y. Rabbia
Astronomical Imaging… Atmospheric Turbulence? Adaptive Optics!
M. Carbillet
Introduction to Wavefront Coding for Incoherent Imaging
M. Roche
Adaptive Optics Feedback Control
J.-P. Folcher, M. Carbillet, A. Ferrari and A. Abelli
SCIROCCO+: Simulation Code of Interferometric-observations for ROtators and CirCumstellar Objects including Non-Radial Pulsations
M. Hadjara, F. Vakili, A. Domiciano de Souza, F. Millour, R. Petrov, S. Jankov and P. Bendjoya
High Angular Resolution and Young Stellar Objects: Imaging the Surroundings of MWC 158 by Optical Interferometry
J. Kluska, F. Malbet, J.-P. Berger, M. Benisty, B. Lazareff,
J.-B. Le Bouquin and C. Pinte
Physical Models and Data Processing
Principles of Image Reconstruction in Interferometry
É. Thiébaut
Imaging Techniques in Millimetre Astronomy
M. Bremer
SMOS-NEXT: A New Concept for Soil Moisture Retrieval from Passive Interferometric Observations
Y. Soldo, F. Cabot, B. Rougé, Y.H. Kerr, A. Al Bitar and E. Epaillard
Formation, Simulation and Restoration of Hypertelescopes Images
D. Mary, C. Aime and A. Carlotti
Statistical Models in Signal and Image Processing
Constrained Minimization Algorithms. Linear Models
H. Lantéri, C. Theys and C. Richard
Scaled Gradient Projection Methods for Astronomical Imaging
M. Bertero, P. Boccacci, M. Prato and L. Zanni
SGM to Solve NMF – Application to Hyperspectral Data
C. Theys, H. Lantéri and C. Richard
MCMC Algorithms for Supervised and Unsupervised Linear Unmixing of Hyperspectral Images
N. Dobigeon, S. Moussaoui, M. Coulon, J.-Y. Tourneret and A.O. Hero
Restoration of Hyperspectral Astronomical Data with Spectrally Varying Blur
F. Soulez, E. Thiébaut and L. Denis
Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-image Methods
N.H. Nguyen, J. Chen, C. Richard, P. Honeine and C. Theys