[go: up one dir, main page]

Girard et al., 2015 - Google Patents

Sparse representations and convex optimization as tools for LOFAR radio interferometric imaging

Girard et al., 2015

View PDF
Document ID
12961893036501140539
Author
Girard J
Garsden H
Starck J
Corbel S
Woiselle A
Tasse C
McKean J
Bobin J
Publication year
Publication venue
Journal of Instrumentation

External Links

Snippet

Compressed sensing theory is slowly making its way to solve more and more astronomical inverse problems. We address here the application of sparse representations, convex optimization and proximal theory to radio interferometric imaging. First, we expose the theory …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
    • G01S13/9035—Particular SAR processing techniques not provided for elsewhere, e.g. squint mode, doppler beam-sharpening mode, spotlight mode, bistatic SAR, inverse SAR
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40—Scaling the whole image or part thereof
    • G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
    • G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40—Scaling the whole image or part thereof
    • G06T3/4084—Transform-based scaling, e.g. FFT domain scaling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Garsden et al. LOFAR sparse image reconstruction
Tasse et al. The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1-I. Direction-dependent calibration and imaging
Hysell et al. Optimal aperture synthesis radar imaging
Alonso et al. A novel strategy for radar imaging based on compressive sensing
Scaife Big telescope, big data: towards exascale with the Square Kilometre Array
Girard et al. Sparse representations and convex optimization as tools for LOFAR radio interferometric imaging
Rau et al. Advances in calibration and imaging techniques in radio interferometry
Trott et al. CHIPS: The Cosmological H i Power Spectrum Estimator
Dong et al. A novel compressive sensing algorithm for SAR imaging
Pratley et al. Robust sparse image reconstruction of radio interferometric observations with purify
CA2767144C (en) Process for filtering interferograms obtained from sar images acquired on the same area
Jin et al. Polarimetric scattering and SAR information retrieval
McCarthy et al. Component-separated, CIB-cleaned thermal Sunyaev-Zel’dovich maps from Planck PR4 data with a flexible public needlet ILC pipeline
Offringa et al. Precision requirements for interferometric gridding in the analysis of a 21 cm power spectrum
Bell et al. Faraday synthesis-The synergy of aperture and rotation measure synthesis
Mertens et al. Deeper multi-redshift upper limits on the epoch of reionisation 21 cm signal power spectrum from LOFAR between z= 8.3 and z= 10.1
Wilensky et al. High-dimensional inference of radio interferometer beam patterns I: parametric model of the HERA beams
Jarret et al. PolyCLEAN: Atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry
Chang et al. Shape reconstruction and weak lensing measurement with interferometers: A shapelet approach
Pratley et al. Wide-band rotation measure synthesis
Sutton et al. Optimal image reconstruction in radio interferometry
Hensley An analytic expression for the phase noise of the Goldstein–Werner filter
Pratley et al. w-Stacking w-projection hybrid algorithm for wide-field interferometric imaging: implementation details and improvements
Skipper et al. Cleaning radio interferometric images using a spherical wavelet decomposition
Thouvenin et al. Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): when precision meets scalability