Search results for "Image resolution"

showing 10 items of 377 documents

Dynamic contrast-enhanced myocardial perfusion imaging using saturation-prepared TrueFISP.

2002

Purpose To develop and test a saturation-recovery TrueFISP (SR-TrueFISP) pulse sequence for first-pass myocardial perfusion imaging. Materials and Methods First-pass magnetic resonance imaging (MRI) of Gd-DTPA (2 mL) kinetics in the heart was performed using an SR-TrueFISP pulse sequence (TR/TE/α = 2.6 msec/1.4 msec/55°) with saturation preparation TD = 30 msec before the TrueFISP readout. Measurements were also performed with a conventional saturation-recovery TurboFLASH (SRTF) pulse sequence for comparison. Results SR-TrueFISP images were of excellent quality and demonstrated contrast agent wash-in more clearly than SRTF images. The signal increase in myocardium was higher in SR-TrueFISP …

AdultGadolinium DTPAMaterials scienceImage qualityContrast MediaImage processingStatistics NonparametricMyocardial perfusion imagingNuclear magnetic resonancePrecontrastCoronary CirculationmedicineImage Processing Computer-AssistedHumansRadiology Nuclear Medicine and imagingImage resolutionmedicine.diagnostic_testbusiness.industryPhantoms ImagingMicrocirculationMagnetic resonance imagingPulse sequenceMagnetic Resonance ImagingNuclear medicinebusinessPerfusionJournal of magnetic resonance imaging : JMRI
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Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods

2015

Arterial spin labeling (ASL) is an emerging MRI technique for non-invasive measurement of cerebral blood flow (CBF). Compared to invasive perfusion imaging modalities, ASL suffers from low sensitivity due to poor signal-to-noise ratio (SNR), susceptibility to motion artifacts and low spatial resolution, all of which limit its reliability. In this work, the effects of various state of the art image processing techniques for addressing these ASL limitations are investigated. A processing pipeline consisting of motion correction, ASL motion correction imprecision removal, temporal and spatial filtering, partial volume effect correction, and CBF quantification was developed and assessed. To fur…

AdultMaleComputer scienceCognitive Neurosciencecerebral blood flowPartial volumePerfusion scanningImage processingSignal-To-Noise RatioYoung AdultImage Processing Computer-Assistedspin labelingHumansreproducibilityImage resolutionReproducibilitySpatial filterbusiness.industrymultiphase pseudo-continuous arterialBrainReproducibility of ResultsSite-directed spin labelingImage EnhancementMagnetic Resonance Imagingarterial spin labelingNeurologyCerebral blood flowArterial spin labelingFemaleSpin Labelsperfusion MRIArtifactsNuclear medicinebusinesstest–retestBiomedical engineeringNeuroImage
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Improved land surface emissivities over agricultural areas using ASTER NDVI

2006

Abstract Land surface emissivity retrieval over agricultural regions is important for energy balance estimations, land cover assessment and other related environmental studies. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) produces images of sufficient spatial resolution (from 15 m to 90 m) to be of use in agricultural studies, in which fields of crops are too small to be well-resolved by low resolution sensors. The ASTER project generates land surface emissivity images as a Standard Product (AST05) using the Temperature/Emissivity Separation (TES) algorithm. However, the TES algorithm is prone to scaling errors in estimating emissivities for surfaces with low s…

Advanced Spaceborne Thermal Emission and Reflection RadiometerRadiometerMean squared errorAtmospheric correctionEmissivitySoil ScienceEnvironmental scienceGeologyLand coverComputers in Earth SciencesImage resolutionNormalized Difference Vegetation IndexRemote sensingRemote Sensing of Environment
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Study of Temperature Heterogeneities at Sub-Kilometric Scales and Influence on Surface–Atmosphere Energy Interactions

2019

The retrieval of land surface temperature (LST) from remote sensing techniques has been studied and validated during the past 40 years, leading to important improvements. Accurate LST values are currently obtained through measurements using medium resolution thermal infrared (TIR) sensors. However, the most recent review reports demonstrated that the future TIR LST products need to obtain reliable temperature values at a high spatial resolution (100 m or higher) to study temperature variations between different elements in a heterogeneous kilometric area. The launch of high-resolution TIR sensors in the near future requires studies of the temporal evolution and spatial heterogeneities of th…

Advection0211 other engineering and technologiesTerrain02 engineering and technologyTemperature measurementAtmosphereSea surface temperatureThermalGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteElectrical and Electronic EngineeringImage resolution021101 geological & geomatics engineeringRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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A method for the surface reflectance retrieval from PROBA/CHRIS data over land: application to ESA SPARC campaigns

2005

The Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (PROBA) platform system provides the first high spatial resolution hyper-spectral/multiangular remote sensing data from a satellite system, what represents a new source of information for Earth Observation purposes. A fully consistent radiative transfer approach is always preferred when dealing with the retrieval of surface reflectance from hyperspectral/multiangular data. However, due to the reported calibration anomalies for CHRIS data, a direct atmospheric correction based on physical radiative transfer modeling is not possible, and the method must somehow compensate for such calibration pr…

Ancillary dataEarth observationSpectrometerAtmospheric correctionRadiative transferCalibrationGeneral Earth and Planetary SciencesHyperspectral imagingEnvironmental science550 - Earth sciencesElectrical and Electronic EngineeringImage resolutionRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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Lensless object scanning holography for two-dimensional mirror-like and diffuse reflective objects

2013

Recently proposed lensless object scanning holography (LOSH) [Opt. Express 20, 9382 (2012)] is a fully lensless method capable of improving the image quality in digital Fourier holography applied to one-dimensional (1D) reflective objects and it involves a very simplified experimental setup. LOSH is based on the recording and digital postprocessing of a set of digital lensless Fourier transform holograms, which finally results in a synthetic image with improved resolution, field-of-view (FOV), signal-to-noise ratio (SNR), and depth of field. In this paper, LOSH is extended to the cases of two-dimensional (2D) mirror-like and 1D diffuse-based objects. For 2D mirror-like objects, the experime…

ApertureImage qualityComputer sciencebusiness.industryHolographyImage processingSuperresolutionAtomic and Molecular Physics and Opticslaw.inventionSpeckle patternOpticslawDigital image processingDepth of fieldElectrical and Electronic EngineeringbusinessEngineering (miscellaneous)Image resolutionDigital holographyFresnel diffractionApplied Optics
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Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping

2016

The choice of the proper resolution in landslide susceptibility mapping is a worth considering issue. If, on the one hand, a coarse spatial resolution may describe the terrain morphologic properties with low accuracy, on the other hand, at very fine resolutions, some of the DEM-derived morphometric factors may hold an excess of details. Moreover, the landslide inventory maps are represented throughout geospatial vector data structure, therefore a conversion procedure vector-to-raster is required.This work investigates the effects of raster resolution on the susceptibility mapping in conjunction with the use of different algorithms of vector-raster conversion. The Artificial Neural Network t…

Artificial neural networkResamplingEnvironmental EngineeringGeospatial analysis010504 meteorology & atmospheric sciencesComputer scienceArtificial neural network; Grid-cell size; Landslide susceptibility mapping; Resampling; Vector-to-raster conversion; Ecological Modeling; Environmental Engineering; Software0208 environmental biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTerrain02 engineering and technologycomputer.software_genre01 natural sciencesArray data structureGrid-cell sizeImage resolutionLandslide susceptibility mapping0105 earth and related environmental sciencesArtificial neural networkEcological ModelingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVector-to-raster conversionLandslidecomputer.file_format020801 environmental engineeringPolygonRaster graphicscomputerAlgorithmSoftwareEnvironmental Modelling & Software
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Topological track reconstruction in unsegmented, large-volume liquid scintillator detectors

2018

Unsegmented, large-volume liquid scintillator (LS) neutrino detectors have proven to be a key technology for low-energy neutrino physics. The efficient rejection of radionuclide background induced by cosmic muon interactions is of paramount importance for their success in high-precision MeV neutrino measurements. We present a novel technique to reconstruct GeV particle tracks in LS, whose main property, the resolution of topological features and changes in the differential energy loss $\mathrm{d}E/\mathrm{d}x$, allows for improved rejection strategies. Different to common track reconstruction approaches, our method does not rely on concrete track / topology hypotheses. Instead, based on a r…

Astroparticle physicsPhysicsPhysics - Instrumentation and DetectorsPhotonMuonPhysics::Instrumentation and Detectors010308 nuclear & particles physicsDetectorFOS: Physical sciencesInstrumentation and Detectors (physics.ins-det)ScintillatorTopology01 natural sciencesNeutrino detector0103 physical sciencesHigh Energy Physics::ExperimentNeutrino010306 general physicsInstrumentationImage resolutionMathematical PhysicsJournal of Instrumentation
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Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions

2021

The estimation of biophysical variables from remote sensing data raises important challenges in terms of the acquisition technology and its limitations. In this way, some vegetation parameters, such as chlorophyll fluorescence, require sensors with a high spectral resolution that constrains the spatial resolution while significantly increasing the subpixel land-cover heterogeneity. Precisely, this spatial variability often makes that rather different canopy structures are aggregated together, which eventually generates important deviations in the corresponding parameter quantification. In the context of the Copernicus program (and other related Earth Explorer missions), this article propose…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer sciencevegetation mappingGeophysics. Cosmic physics0211 other engineering and technologiesContext (language use)02 engineering and technologyLand coverearthSentinel-2 (S2)01 natural sciencessentinel-3 (S3)FLEXcharacterizationComputers in Earth SciencesImage resolutionTC1501-1800spatial resolutionBiophysical productsSentinel-3 (S3)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingQC801-809biophysical productsbiological system modelingSubpixel renderingSpatial heterogeneityOcean engineeringinstrumentsfluorescence EXplorer (FLEX)Spatial ecologyflexible printed circuitssentinel-2 (S2)Spatial variabilityspatial distributionssensor phenomena
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Evaluation of Disaggregation Methods for Downscaling MODIS Land Surface Temperature to Landsat Spatial Resolution in Barrax Test Site

2016

Thermal infrared (TIR) data are usually acquired at a coarser spatial resolution (CR) than visible and near infrared (VNIR). Several disaggregation methods have been recently developed to enhance the TIR spatial resolution using VNIR data. These approaches are based on the retrieval of a relation between TIR and VNIR data at CR, or training of a neural network, to be applied at the fine resolution afterward. In this work, different disaggregation methods are applied to the combination of two different sensors in the experimental test site of Barrax, Spain. The main objective is to test the feasibility of these techniques when applied to satellites provided with no TIR bands. Landsat and mod…

Atmospheric Science010504 meteorology & atmospheric sciencesMean squared errorNear-infrared spectroscopyTemperature0211 other engineering and technologies02 engineering and technology01 natural sciencesNormalized Difference Vegetation IndexVNIRRemote SensingSpectroradiometerImage resolutionImage enhancementLinear regressionEnvironmental scienceComputers in Earth SciencesImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingDownscalingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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