[go: up one dir, main page]

Chen et al., 2020 - Google Patents

ARU-net: Reduction of atmospheric phase screen in SAR interferometry using attention-based deep residual U-net

Chen et al., 2020

View PDF
Document ID
15249319690013544501
Author
Chen Y
Bruzzone L
Jiang L
Sun Q
Publication year
Publication venue
IEEE Transactions on Geoscience and Remote Sensing

External Links

Snippet

Atmospheric phase screen (APS) is a very critical issue for the application of interferometric synthetic aperture radar (InSAR) techniques. The spatial-temporal variations of APS are the dominant error source in interferograms and may completely mask displacement signals …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S13/00Systems 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
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/89Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
    • G01S13/9035Particular SAR processing techniques not provided for elsewhere, e.g. squint mode, doppler beam-sharpening mode, spotlight mode, bistatic SAR, inverse SAR
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13Receivers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4053Super resolution, i.e. output image resolution higher than sensor resolution
    • G06T3/4061Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis

Similar Documents

Publication Publication Date Title
Chen et al. ARU-net: Reduction of atmospheric phase screen in SAR interferometry using attention-based deep residual U-net
Feng et al. Comparing discharge estimates made via the BAM algorithm in high‐order Arctic rivers derived solely from optical CubeSat, Landsat, and Sentinel‐2 data
Sharifi et al. Downscaling satellite precipitation estimates with multiple linear regression, artificial neural networks, and spline interpolation techniques
Bonnema et al. Assessing the potential of the surface water and ocean topography mission for reservoir monitoring in the Mekong River Basin
Cheng et al. A spatial and temporal nonlocal filter-based data fusion method
Oubanas et al. Discharge estimation in ungauged basins through variational data assimilation: The potential of the SWOT mission
Wendi et al. An innovative approach to improve SRTM DEM using multispectral imagery and artificial neural network
Sun et al. Automatic detection of volcanic surface deformation using deep learning
Lavergne et al. Sea ice motion from low‐resolution satellite sensors: An alternative method and its validation in the Arctic
Shen et al. A high spatiotemporal gauge‐satellite merged precipitation analysis over China
Su et al. Beyond triple collocation: Applications to soil moisture monitoring
Walters et al. Rapid strain accumulation on the Ashkabad fault (Turkmenistan) from atmosphere‐corrected InSAR
Kurtenbach et al. Improved daily GRACE gravity field solutions using a Kalman smoother
Karvonen A sea ice concentration estimation algorithm utilizing radiometer and SAR data
Andersen Marine gravity and geoid from satellite altimetry
Kolassa et al. Soil moisture retrieval from multi‐instrument observations: Information content analysis and retrieval methodology
CN116148855B (en) Method and System for Time-series InSAR Atmospheric Phase Removal and Deformation Calculation
Irrgang et al. Self‐validating deep learning for recovering terrestrial water storage from gravity and altimetry measurements
Chybicki Three-dimensional geographically weighted inverse regression (3GWR) model for satellite derived bathymetry using Sentinel-2 observations
Archambault et al. Learning sea surface height interpolation from multi‐variate simulated satellite observations
Stroud et al. Assimilation of satellite images into a sediment transport model of Lake Michigan
Chen et al. Assimilation of SBAS-InSAR based vertical deformation into land surface model to improve the estimation of terrestrial water storage
Cho et al. A new statistical downscaling approach for short‐term forecasting of summer air temperatures through a fusion of deep learning and spatial interpolation
Fisher et al. Remotely sensed terrestrial open water evaporation
Milstein et al. Detail enhancement of AIRS/AMSU temperature and moisture profiles using a 3D deep neural network