Search results for "Multispectral image"

showing 10 items of 192 documents

Estimation of the time lag occurring between vegetation indices and aridity indices in a Sicilian semi-arid catchment

2009

The evolution of drought phenomena in a Sicilian semi-arid catchment has been analyzed processing both remote sensing images and climatic data for the period 1985-2000. The remote sensing dataset includes Landsat TM and ETM+ multispectral images, while the climatic dataset includes monthly rainfall and air temperature. The results have been specifically discussed for areas where it is possible to neglect agricultural activities and vegetation growth is only influenced by natural forcing. The main outcome of this study is the quantification of the time lag between the remote sensing retrieved vegetation indices and the aridity indices (AIs) calculated from climatic data. Moreover the obtaine…

Atmospheric Sciencegeography.geographical_feature_categoryvegetation indices aridity indices drought time series time lagApplied MathematicsMultispectral imageSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDrainage basinVegetationForcing (mathematics)Aridlanguage.human_languageGeographyRemote sensing (archaeology)ClimatologylanguageAridity indexComputers in Earth SciencesSicilianGeneral Environmental Science
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Optimizing LUT-based radiative transfer model inversion for retrieval of biophysical parameters using hyperspectral data

2012

Inversion of radiative transfer models using a lookup-table (LUT) approach against hyperspectral data streams leads to retrievals of biophysical parameters such as chlorophyll content (Chl), but necessary optimization strategies are not consolidated yet. Here, various regularization options have been evaluated to the benefit of improved Chl retrieval from hyperspectral CHRIS data, being: i) the role of added noise, ii) the role of multiple best solutions, and iii) the role of applied cost functions in LUT-based inversion. By using data from the ESA-led field campaign SPARC (Barrax, Spain), it was found that introducing noise and opting for multiple best solutions in the inversion considerab…

Atmospheric radiative transfer codesComputer scienceMultispectral imageLookup tableRadiative transferHyperspectral imagingInversion (meteorology)Remote sensing2012 IEEE International Geoscience and Remote Sensing Symposium
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Optical security and encryption with totally incoherent light

2001

We present a method for securing and encrypting information optically by use of totally incoherent illumination. Encryption is performed with a multichannel optical processor working under natural (both temporal and spatially incoherent) light. In this way, the information that is to be secured can be codified by use of color signals and self-luminous displays. The encryption key is a phase-only mask, providing high security from counterfeiting. Output encrypted information is recorded as an intensity image that can be easily stored and transmitted optically or electrically. Decryption or authentication can also be performed optically or digitally. Experimental results are presented.

AuthenticationHigh securitybusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical securityEncryptionAtomic and Molecular Physics and OpticsOptical encryptionDiffractive lensOpticsComputer Science::MultimediabusinessOptical processorComputer Science::DatabasesComputer Science::Cryptography and SecurityOptics Letters
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Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum

2010

[1] We have used visible and near-infrared Panoramic Camera (Pancam) spectral data acquired by the Opportunity rover to analyze 15 rock fragments at the Meridiani Planum landing site. These spectral results were then compared to geochemistry measurements made by the in situ instruments Mossbauer (MB) and Alpha Particle X-ray Spectrometer (APXS) to determine the feasibility of mineralogic characterization from Pancam data. Our results suggest that dust and alteration rinds coat many rock fragments, which limits our ability to adequately measure the mineralogy of some rocks from Pancam spectra relative to the different field of view and penetration depths of MB and APXS. Viewing and lighting …

BasaltMeridiani PlanumAtmospheric ScienceEcologyOutcropNear-infrared spectroscopyMultispectral imagePaleontologySoil ScienceMineralogyForestryMars Exploration ProgramAquatic ScienceOceanographyGeophysicsMeteoriteRock fragmentSpace and Planetary ScienceGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)GeologyEarth-Surface ProcessesWater Science and TechnologyJournal of Geophysical Research
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Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery

2021

Retrieval of the phycocyanin concentration (PC), a characteristic pigment of, and proxy for, cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is challenging due to uncertainties in the remote sensing reflectance (?R) resulting from atmospheric correction and instrument radiometric noise. Although several individual algorithms have been proven to capture local variations in cyanobacteria biomass in specific regions, their performance has not been assessed on hyperspectral images from satellite sensors. Our work leverages a machine-learning model, Mixture Density Networks (MDNs), trained on a large (N = 939) dataset of collocated in situ chlorophyll-a concentrat…

Biomass (ecology)Aquatic remote sensingcyanoHABsHICOMultispectral imageAtmospheric correctionPhycocyaninSoil ScienceHyperspectral imagingGeologyPRISMASpectral bandsCyanobacteriacyanobacteria ; phycocyanin ; machine learning ; mixture density network ; aquatic remote sensing ; cyanoHABs ; HICO ; PRISMAMachine learningMixture density networkEnvironmental scienceRadiometrySatelliteNoise (video)Computers in Earth SciencesRemote sensingRemote Sensing of Environment
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Multispectral and autofluorescence RGB imaging for skin cancer diagnostics

2019

This paper presents the results of statistical clinical data, combining two diagnostic methods. A combination of two skin imaging methods – diffuse reflectance and autofluorescence – has been applied for skin cancer diagnostics. Autofluorescence (AF) and multispectral diffuse reflectance images were acquired by custom made prototype with 405 nm, 526 nm, 663 nm and 964 nm LEDs and RGB CMOS camera. Parameter p’ was calculated from diffuse reflectance images under green, red and infrared illumination, AF intensity (I’) was calculated from AF images exited at 405nm wavelength. Obtained results show that criterion p` > 1 gives possibility to discriminate melanomas and different kind of keratosis…

CMOS sensorMaterials scienceKeratosisbusiness.industryMultispectral imagemedicine.diseaselaw.inventionAutofluorescenceWavelengthOpticslawmedicineRGB color modelDiffuse reflectionbusinessLight-emitting diodeSaratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine
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Multimodal device for assessment of skin malformations

2013

A variety of multi-spectral imaging devices is commercially available and used for skin diagnostics and monitoring; however, an alternative cost-efficient device can provide an advanced spectral analysis of skin. A compact multimodal device for diagnosis of pigmented skin lesions was developed and tested. A polarized LED light source illuminates the skin surface at four different wavelengths – blue (450 nm), green (545 nm), red (660 nm) and infrared (940 nm). Spectra of reflected light from the 25 mm wide skin spot are imaged by a CMOS sensor. Four spectral images are obtained for mapping of the main skin chromophores. The specific chromophore distribution differences between different skin…

CMOS sensorMedical diagnosticMaterials scienceintegumentary systembusiness.industryInfraredMultispectral imageOpticsLight sourceSkin surfaceSpectral analysisPigmented skinbusinessBiomedical engineeringSPIE Proceedings
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Multi-spectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial

2011

A clinical trial comprising 266 pigmented lesions and 49 vascular lesions has been performed in three Riga clinics by means of multi-spectral imaging analysis. The imaging system Nuance 2.4 (CRI) and self-developed software for mapping of the main skin chromophores were used. The obtained results confirm clinical potential of this technology for non-contact quantitative assessment of skin pathologies.

Clinical trialmedicine.medical_specialtybusiness.industryMultispectral imageQuantitative assessmentMedicineMulti spectralRadiologybusinessSkin lesionImaging analysisSPIE Proceedings
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Comparison of metrics to remove the influence of geometrical conditions on soil reflectance

2007

The objective of this work is to find the best metric to ignore the variations of soil reflectance induced by the solar-view angles geometry. Differences between spectra measured for the same soil under different observation and illumination configurations can leads to misclassifications. Using ninety two soils of different composition measured under twenty eight solar- view angles geometries, we tested 3 metrics : RMSE, SAM, R2 (the coefficient of determination) and we compared their performances. The best metric seems to be the coefficient of determination with 93 % of good classifications.

Coefficient of determinationMean squared errorSoil waterMultispectral imageMetric (mathematics)Surface roughnessHyperspectral imagingReflectivityRemote sensingMathematics2007 IEEE International Geoscience and Remote Sensing Symposium
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Learning spatial filters for multispectral image segmentation.

2010

International audience; We present a novel filtering method for multispectral satel- lite image classification. The proposed method learns a set of spatial filters that maximize class separability of binary support vector machine (SVM) through a gradient descent approach. Regularization issues are discussed in detail and a Frobenius-norm regularization is proposed to efficiently exclude uninformative filters coefficients. Experiments car- ried out on multiclass one-against-all classification and tar- get detection show the capabilities of the learned spatial fil- ters.

Computer Science::Machine LearningMultispectral image0211 other engineering and technologies02 engineering and technology01 natural sciencesRegularization (mathematics)010104 statistics & probability[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]Life ScienceComputer visionSegmentation0101 mathematicsLarge margin method021101 geological & geomatics engineeringMathematicsImage segmentationContextual image classificationPixelbusiness.industryPattern recognitionImage segmentationSupport vector machineComputingMethodologies_PATTERNRECOGNITIONmultispectral imageSpatial FilteringArtificial intelligenceGradient descentbusiness
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