Search results for "Spectral"

showing 10 items of 3116 documents

A fluorescence retrieval method for the flex sentinel-3 tandem mission

2014

A new fluorescence retrieval method is proposed to support ESA's 8th Earth Explorer Fluorescence EXplorer (FLEX) candidate mission. Most hyperspectral fluorescence retrieval algorithms available in the literature are very sensitive to true reflectance modelization and/or they assume the atmospheric status as known. The proposed algorithm delivers the retrieval of full fluorescence spectrum at canopy level by using only Top Of Atmosphere (TOA) radiances as input. The proposed method starts with (1) the atmospheric correction of TOA radiances, characterizing the state of the atmosphere without assuming any a-priori classification on aerosols models, (2) performing a first estimation of fluore…

Signal processingComputer sciencesynergy productFluorescence retrievalAtmospheric correctionHyperspectral imagingAtmospheric modelFluorescenceFLEXAtmosphereAtmospheric correctionSentinel-3Adaptive opticsAbsorption (electromagnetic radiation)Remote sensing2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Quantitative thermoelastic stress analysis by means of low-cost setups

2020

Abstract A low-cost Thermoelastic Stress Analysis (TSA) experimental setup is proposed which uses an ordinary micro-bolometer and in-house developed signal processing scripts. The setup is evaluated by analysing the thermoelastic signal from a tensile and a SENT specimen made of stainless steel AISI 304L, and the bolometer performances are compared with those of a state of the art photon detector. Signal processing is based on off-line cross-correlation, using a self-reference signal which is retrieved from the acquired thermal data. Procedures are in particular developed to recognise, quantify and correct errors due to spectral leakage and loss of streamed frames. The thermoelastic signal …

Signal processingMaterials scienceMicro-bolometersAcoustics/dk/atira/pure/subjectarea/asjc/2500/2504/dk/atira/pure/subjectarea/asjc/2200/2208Crack-growth monitoringThermoelastic stress analysis02 engineering and technologyFatigue testing01 natural sciencesSignallaw.invention010309 opticsSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineThermoelastic dampingData acquisitionlaw0103 physical sciencesCalibrationElectrical and Electronic EngineeringSpectral leakageStress intensity factorSignal processing/dk/atira/pure/subjectarea/asjc/3100/3107Mechanical EngineeringBolometer021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsIR-thermography/dk/atira/pure/subjectarea/asjc/2200/22100210 nano-technology
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Multi-spectral mapping of in vivo skin hemoglobin and melanin

2010

The multi-spectral imaging technique has been used for distant mapping of in-vivo skin chromophores by analyzing spectral data at each reflected image pixel and constructing 2-D maps of the relative concentrations of oxy-/deoxyhemoglobin and melanin. Instead of using a broad visible-NIR spectral range, this study focuses on narrowed spectral band 500-700 nm, so speeding-up the signal processing procedure. Regression analysis confirmed that superposition of three Gaussians is optimal analytic approximation for the oxy-hemoglobin absorption tabular spectrum in this spectral band, while superposition of two Gaussians fits well for deoxy-hemoglobin absorption and exponential function - for mela…

Signal processingMaterials sciencePixelbusiness.industryMultispectral imageNear-infrared spectroscopySpectral bandsmedicine.disease_causeSuperposition principleOpticsmedicinebusinessAbsorption (electromagnetic radiation)UltravioletSPIE Proceedings
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Proba-V cloud detection Round Robin: Validation results and recommendations

2017

This paper discusses results from 12 months of a Round Robin exercise aimed at the inter-comparison of different cloud detection algorithms for Proba-V. Clouds detection is a critical issue for satellite optical remote sensing, since potential errors in cloud masking directly translates into significant uncertainty in the retrieved downstream geophysical products. Cloud detection is particularly challenging for Proba-V due to the presence of a limited number of spectral bands and the lack of thermal infrared bands. The main objective of the project was the inter-comparison of several cloud detection algorithms for Proba-V over a wide range of surface types and environmental conditions. Prob…

Signal processingPixelArtificial neural networkbusiness.industryCloud computingSpectral bandsLinear discriminant analysiscomputer.software_genreThresholdingGeographySatelliteData miningbusinesscomputerRemote sensing2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)
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Support Vector Machines Framework for Linear Signal Processing

2005

This paper presents a support vector machines (SVM) framework to deal with linear signal processing (LSP) problems. The approach relies on three basic steps for model building: (1) identifying the suitable base of the Hilbert signal space in the model, (2) using a robust cost function, and (3) minimizing a constrained, regularized functional by means of the method of Lagrange multipliers. Recently, autoregressive moving average (ARMA) system identification and non-parametric spectral analysis have been formulated under this framework. The generalized, yet simple, formulation of SVM LSP problems is particularized here for three different issues: parametric spectral estimation, stability of I…

Signal processingTelecomunicacionesSupport vector machinesSystem identificationLinear signal processingSpectral density estimationSpectral estimationSupport vector machineGamma filterControl and Systems EngineeringControl theoryComplex ARMASignal ProcessingAutoregressive–moving-average model3325 Tecnología de las TelecomunicacionesComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringInfinite impulse responseDigital filterAlgorithmSoftwareParametric statisticsMathematics
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Mutual Information Analysis of Brain-Heart Interactions in Epileptic Children

2021

In this work we apply the network physiology paradigm to retrieve information from central and autonomic nervous systems before focal epileptic seizure, represented respectively by electroencephalogram (EEG) signals and R-R intervals (RRI), and investigate on the presence and strength of brain-heart interactions by computing mutual information (MI) measures. Statistical significance of MI values was tested through surrogate time series generated with the random shuffle approach. Our results suggest that the proposed method for aligning signals representing brain and heart activity measured with different sampling rates, is capable of revealing coupling between RRI representing heart system,…

Signal processingmedicine.diagnostic_testbusiness.industryTotal frequencySpectral densityPattern recognitionMutual informationHeart activityElectroencephalographyEpilepsy seizure EEG R-R intervals mutual information brain-heart interactionsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineArtificial intelligenceEpileptic seizuremedicine.symptombusinessMathematics
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Spectral estimators for Doppler analysis of intracoronary ultrasound catheters

2002

With the zero-cross-detection method (ZCD) it has been shown that it is not possible to achieve a reproducible quantitative, and robust evaluation of an inter-coronary audio signal. The authors define spectral estimators to analyze the Doppler-audio signal. Measurements in a blood flow model have shown that the ZCD method underestimates the expected velocity at all speeds. Spectral analysis allows the determination of the actual and peak velocity more robustly and precisely. >

Signal processingsymbols.namesakeAudio signalPeak velocityComputer scienceRobustness (computer science)AcousticssymbolsEstimatorSpectral analysisBlood flowDoppler effect[1991] Proceedings Computers in Cardiology
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The Large Area Detector onboard the eXTP mission

2018

The eXTP (enhanced X-ray Timing and Polarimetry) mission is a major project of the Chinese Academy of Sciences (CAS) and China National Space Administration (CNSA) currently performing an extended phase A study and proposed for a launch by 2025 in a low-earth orbit. The eXTP scientific payload envisages a suite of instruments (Spectroscopy Focusing Array, Polarimetry Focusing Array, Large Area Detector and Wide Field Monitor) offering unprecedented simultaneous wide-band X-ray spectral, timing and polarimetry sensitivity. A large European consortium is contributing to the eXTP study and it is expected to provide key hardware elements, including a Large Area Detector (LAD). The LAD instrumen…

Silicon detectorX-ray AstronomyComputer sciencecapillary platePolarimetryFOS: Physical sciencesField of viewContext (language use)Condensed Matter Physic01 natural sciencesSettore FIS/05 - Astronomia E Astrofisica0103 physical sciencesElectroniccapillary plates; Silicon detectors; Timing; X-ray Astronomy; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringTimingOptical and Magnetic MaterialsAerospace engineeringSpectral resolutionElectrical and Electronic Engineering010306 general physicscapillary plates; Silicon detectors; Timing; X-ray Astronomy; astro-ph.IM; astro-ph.IM; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringInstrumentation and Methods for Astrophysics (astro-ph.IM)X-ray astronomycapillary plates010308 nuclear & particles physicsbusiness.industryPayloadElectronic Optical and Magnetic MaterialApplied MathematicsDetectorAntenna apertureComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter PhysicsApplied MathematicSilicon detectorsAstrophysics - Instrumentation and Methods for Astrophysicsbusinessastro-ph.IM
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Baseline design of the filters for the LAD detector on board LOFT

2014

The Large Observatory for X-ray Timing (LOFT) was one of the M3 missions selected for the phase A study in the ESA's Cosmic Vision program. LOFT is designed to perform high-time-resolution X-ray observations of black holes and neutron stars. The main instrument on the LOFT payload is the Large Area Detector (LAD), a collimated experiment with a nominal effective area of ~10 m 2 @ 8 keV, and a spectral resolution of ~240 eV in the energy band 2-30 keV. These performances are achieved covering a large collecting area with more than 2000 large-area Silicon Drift Detectors (SDDs) each one coupled to a collimator based on lead-glass micro-channel plates. In order to reduce the thermal load onto …

SiliconCosmic VisionPhysics - Instrumentation and DetectorsSpectral resolutionSilicon drift detectorVisionAstrophysics::High Energy Astrophysical PhenomenaCollimatorsObservatoriesFOS: Physical sciencesCollimated lightlaw.inventionSettore FIS/05 - Astronomia E AstrofisicaOpticsObservatorylawX-raysSpectral resolutionphysics.ins-detInstrumentation and Methods for Astrophysics (astro-ph.IM)PhysicsEquipment and servicesLead glassSensorsbusiness.industryDetectorAntenna apertureAstrophysics::Instrumentation and Methods for AstrophysicsCollimatorInstrumentation and Detectors (physics.ins-det)Microchannel platesbusinessAstrophysics - Instrumentation and Methods for Astrophysicsastro-ph.IM
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Energy balance in single exposure multispectral sensors

2013

International audience; Recent simulations of multispectral sensors are based on a simple Gaussian model, which includes filters transmittance and substrate absorption. In this paper we want to make the distinction between these two layers. We discuss the balance of energy by channel in multispectral solid state sensors and propose an updated simple Gaussian model to simulate multispectral sensors. Results are based on simulation of typical sensor configurations.

SiliconMaterials science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingoptical sensorsChannel (digital image)Equations[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhotodetectorGaussian processes02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciences010309 opticssymbols.namesakeMathematical model[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringTransmittanceComputer Science::Networking and Internet ArchitectureSpectral and color filter arraysoptical filtersOptical filterGaussian processPhysics::Atmospheric and Oceanic Physics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRemote sensingtransmittance filterSubstratesSensorsGaussian modelmultispectral solid state sensorCamerasenergy balancespectral analysisConvolutionexposure multispectral sensorComputer Science::Computer Vision and Pattern Recognitionsubstrate absorptionlight absorptionlight sensorsymbolstransmittance filters020201 artificial intelligence & image processingGaussian network model[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEnergy (signal processing)
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