Search results for "multispectral image"

showing 10 items of 192 documents

Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications

2009

Interest in remote sensing (RS) of solar-induced chlorophyll fluorescence (F) by terrestrial vegetation is motivated by the link of F to photosynthetic efficiency which could be exploited for large scale monitoring of plant status and functioning. Today, passive RS of F is feasible with different prototypes and commercial ground-based, airborne, and even spaceborne instruments under certain conditions. This interest is generating an increasing number of research projects linking F and RS, such as the development of new F remote retrieval techniques, the understanding of the link between the F signal and vegetation physiology and the feasibility of a satellite mission specifically designed f…

ApplicationComputer scienceSolar-induced chlorophyll fluorescenceMultispectral imageMethodSoil ScienceHyperspectral imaging550 - Earth sciencesGeologyPhotochemical Reflectance IndexPassive techniqueGEO/10 - GEOFISICA DELLA TERRA SOLIDARemote sensing (archaeology)DevicesRadianceSatelliteSatellite imageryComputers in Earth SciencesScale (map)Remote sensingRemote Sensing of Environment
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Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks

2020

Landmark recognition and matching is a critical step in many Image Navigation and Registration (INR) models for geostationary satellite services, as well as to maintain the geometric quality assessment (GQA) in the instrument data processing chain of Earth observation satellites. Matching the landmark accurately is of paramount relevance, and the process can be strongly impacted by the cloud contamination of a given landmark. This paper introduces a complete pattern recognition methodology able to detect the presence of clouds over landmarks using Meteosat Second Generation (MSG) data. The methodology is based on the ensemble combination of dedicated support vector machines (SVMs) dependent…

FOS: Computer and information sciencesAtmospheric ScienceMatching (statistics)Computer Science - Machine LearningSource code010504 meteorology & atmospheric sciencesComputer scienceComputer Vision and Pattern Recognition (cs.CV)media_common.quotation_subjectMultispectral image0211 other engineering and technologiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer Science - Computer Vision and Pattern RecognitionCloud computing02 engineering and technology01 natural sciencesMachine Learning (cs.LG)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesmedia_commonLandmarkbusiness.industryPattern recognitionSupport vector machinePattern recognition (psychology)Geostationary orbitArtificial intelligencebusiness
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Diffuse reflectance and fluorescence multispectral imaging system for assessment of skin

2014

The diffuse reflectance multispectral imaging technique has been used for distant mapping of in vivo skin chromophores (hemoglobin and melanin). The fluorescence multispectral imaging is not so common for skin applications due to complicity of data acquisition and processing, but could provide additional information about skin fluorophores. Both techniques are compatible, and could be combined into a multimodal solution. The multispectral imaging system Nuance based on liquid crystal tunable filters was adapted for diffuse reflectance and fluorescence spectral imaging of in vivo skin. Uniform illumination was achieved by LED ring light. Combination of four LEDs (warm white, 770 nm, 830 nm a…

medicine.medical_specialtyMaterials scienceDiffuse reflectance infrared fourier transformbusiness.industryMultispectral imageSpectral imagingAutofluorescenceImaging spectroscopyOpticsmedicineLiquid crystal tunable filterOptoelectronicsSpectral resolutionbusinessImage resolutionBiophotonics: Photonic Solutions for Better Health Care IV
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Comparison of Thermal Infrared Emissivities Retrieved With the Two-Lid Box and the TES Methods With Laboratory Spectra

2009

Knowledge of surface emissivity in the thermal infrared (TIR) region is critical for determining the land surface temperature (LST) from remote-sensing measurements. If emissivity is not well determined, it can cause a significant systematic error in obtaining the LST. The main aim of this paper is to compare different methods for measuring accurate land surface emissivity in the field, namely, the box method and the temperature and emissivity separation (TES) algorithm. Field emissivities were compared with soil spectra from laboratory measurements. Emissivities were measured for the bands of a multispectral radiometer CE312-2 with effective wavelengths at 8.4, 8.7, 9.1, 10.6, and 11.3 mum…

WavelengthRadiometerMaterials scienceInfraredMultispectral imageEmissivityRadiative transferGeneral Earth and Planetary SciencesRadiometryElectrical and Electronic EngineeringAtmospheric opticsRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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Analysis of acousto-optic tunable filter performance for imaging applications

2010

Acousto-optic tunable filters (AOTFs) can be used as spec- tral filters in multispectral imaging applications. Acousto-optic crystals diffract a single wavelength from a broadband light beam, depending on the applied radio frequency signal. However, experimental measurements show that the actual performance is far from the expected behavior. We present an experimental characterization of several commercial off-the- shelf AOTFs for the implementation of multispectral imaging instruments. The diffraction performance of three bare crystals is compared, while a fourth AOTF crystal is mounted on the optical path of a multispectral im- ager to evaluate its performance. The experiments show that t…

DiffractionMaterials sciencebusiness.industryMultispectral imageGeneral EngineeringFilter (signal processing)Diffraction efficiencyAtomic and Molecular Physics and OpticsWavelengthOpticsOptical pathBroadbandLight beambusinessOptical Engineering
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Multispectral filter arrays: Recent advances and practical implementation

2014

Thanks to some technical progress in interferencefilter design based on different technologies, we can finally successfully implement the concept of multispectral filter array-based sensors. This article provides the relevant state-of-the-art for multispectral imaging systems and presents the characteristics of the elements of our multispectral sensor as a case study. The spectral characteristics are based on two different spatial arrangements that distribute eight different bandpass filters in the visible and near-infrared area of the spectrum. We demonstrate that the system is viable and evaluate its performance through sensor spectral simulation. Multispectral filter arrays: Recent advan…

snapshotmultispectral imaging[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologycomputer.software_genre01 natural sciencesBiochemistryArticleAnalytical Chemistry010309 opticsBand-pass filter[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesElectronic engineeringlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationsnapshot multispectral imaging021001 nanoscience & nanotechnologyAtomic and Molecular Physics and Opticssingle solid state sensorspatio-spectral scene samplingComputingMethodologies_PATTERNRECOGNITIONFilter (video)multispectral and color filter arraysData mining0210 nano-technologycomputer
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Assessment of workflow feature selection on forest LAI prediction with sentinel-2A MSI, landsat 7 ETM+ and Landsat 8 OLI

2020

The European Space Agency (ESA)’s Sentinel-2A (S2A) mission is providing time series that allow the characterisation of dynamic vegetation, especially when combined with the National Aeronautics and Space Administration (NASA)/United States Geological Survey (USGS) Landsat 7 (L7) and Landsat 8 (L8) missions. Hybrid retrieval workflows combining non-parametric Machine Learning Regression Algorithms (MLRAs) and vegetation Radiative Transfer Models (RTMs) were proposed as fast and accurate methods to infer biophysical parameters such as Leaf Area Index (LAI) from these data streams. However, the exact design of optimal retrieval workflows is rarely discussed. In this study, the impact of…

Leaf area index (LAI)010504 meteorology & atmospheric sciencesComputer scienceScienceMultispectral image0211 other engineering and technologiesFeature selection02 engineering and technology01 natural sciencesCropLaboratory of Geo-information Science and Remote SensingMachine learningRadiative transferBosecologie en BosbeheerLaboratorium voor Geo-informatiekunde en Remote SensingForestLeaf area indexDiscrete anisotropic radiative transfer (DART) model021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingQInversion (meteorology)Vegetation15. Life on landPE&RCForest Ecology and Forest ManagementVegetation radiative transfer modelNoiseFeature (computer vision)Thematic MapperGeological surveyGeneral Earth and Planetary SciencesSentinel-2Remote Sensing
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Semi-automatic detection of skin malformations by analysis of spectral images

2013

The multi-spectral imaging technique to reveal skin malformations has been described in this work. Four spectral images taken at polarized monochromatic LED illumination (450nm, 545nm, 660nm and 940 nm) and polarized white LED light imaged by CMOS sensor via cross-oriented polarizing filter were analyzed to calculate chromophore maps. The algorithm based on skin color analysis and user-defined threshold selection allows highlighting of skin areas with predefined chromophore concentration semi-automatically. Preliminary results of clinical tests are presented.

medicine.medical_specialtyCMOS sensorMaterials sciencebusiness.industryMultispectral imageImage segmentationPolarizing filterChromophorePolarizerlaw.inventionSpectral imagingOpticslawmedicineMonochromatic colorbusiness
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Dynamic best spectral bands selection for face recognition

2014

In this paper, face recognition in uncontrolled illumination conditions is investigated. A twofold contribution is proposed. First, three state-of-art algorithms, namely Multiblock Local Binary Pattern (MBLBP), Histogram of Gabor Phase Patterns (HGPP) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS) are evaluated upon the IRIS-M3 face database to study their robustness against a high illumination variation conditions. Second, we propose to use visible multispectral images, provided by the same face database, to enhance the performance of the three mentioned algorithms. To reduce the high data dimensionality introduced by the use of multispectral images, we have designed a system t…

Local binary patternsbusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionSpectral bandsBinary patternMixture modelFacial recognition systemComputingMethodologies_PATTERNRECOGNITIONRobustness (computer science)Computer Science::Computer Vision and Pattern RecognitionHistogramComputer visionArtificial intelligencebusiness2014 48th Annual Conference on Information Sciences and Systems (CISS)
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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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