Search results for "Spectral signature"

showing 10 items of 18 documents

A new method for the identification of archaeological soils by their spectral signatures in the vis-NIR region

2020

Abstract This paper introduces a statistical method to identify spectral signatures of buried archaeological remains and distinguish them from spectra of the background soil in the visible to near infrared region. The proposed method is based on the Principal Component Analysis (PCA). The difference between an archaeological spectrum and non-archaeological soil spectra is quantified by a so-called R value. R values larger than 1 indicate that the spectrum represents an archaeological material. The method is successfully applied to samples from five study sites in Italy and Hungary with special conditions. The reflection spectra are taken in a time-efficient way with a field spectrometer. Th…

010506 paleontologyArcheologySpectral signature060102 archaeologySpectrometerNear-infrared spectroscopy06 humanities and the artsCC01 natural sciencesArchaeologyField (geography)Spectral linePrincipal component analysisReflection (physics)0601 history and archaeologySpectral resolutionGeology0105 earth and related environmental sciencesJournal of Archaeological Science: Reports
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Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

2020

Abstract Nitrogen (N) is considered as one of the most important plant macronutrients and proper management of N therefore is a pre-requisite for modern agriculture. Continuous satellite-based monitoring of this key plant trait would help to understand individual crop N use efficiency and thus would enable site-specific N management. Since hyperspectral imaging sensors could provide detailed measurements of spectral signatures corresponding to the optical activity of chemical constituents, they have a theoretical advantage over multi-spectral sensing for the detection of crop N. The current study aims to provide a state-of-the-art overview of crop N retrieval methods from hyperspectral data…

2. Zero hungerSpectral signature010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnology[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomySoil ScienceHyperspectral imagingGeology02 engineering and technology15. Life on land01 natural sciencesArticleRegression020801 environmental engineeringNonparametric regressionVNIRChemometricsImaging spectroscopyComputers in Earth SciencesComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesParametric statisticsRemote sensingRemote Sensing of Environment
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2016

Abstract. We analyze polar stratospheric cloud (PSC) signatures in airborne MIPAS-STR (Michelson Interferometer for Passive Atmospheric Sounding – STRatospheric aircraft) observations in the spectral regions from 725 to 990 and 1150 to 1350 cm−1 under conditions suitable for the existence of nitric acid trihydrate (NAT) above northern Scandinavia on 11 December 2011. The high-resolution infrared limb emission spectra of MIPAS-STR show a characteristic “shoulder-like” signature in the spectral region around 820 cm−1, which is attributed to the ν2 symmetric deformation mode of NO3− in β-NAT. Using radiative transfer calculations involving Mie and T-Matrix methods, the spectral signatures of s…

Atmospheric ScienceSpectral signature010504 meteorology & atmospheric sciences010405 organic chemistryScatteringChemistryRadiusAtmospheric sciences01 natural sciencesSpectral line0104 chemical sciencesComputational physicsRadiative transferParticleEmission spectrumStratosphere0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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Vegetation cover seasonal changes assessment from TM imagery in a semi-arid landscape

2004

This work evaluates the suitability of spectral mixture analysis (SMA) methods to assess vegetation cover seasonal changes in a desertification context. Our main interest is to produce remotely sensed derived maps, sensitive to vegetation activity and quite independent of the soil background. A further aim is to analyse the inter-annual variations of this magnitude for different natural vegetation species, in response to seasonal and climatic changes. Fractional vegetation cover (FVC) was obtained using a Variable Endmember Spectral Mixture Analysis (VESMA) technique. The aim is to identify the main vegetation cover and lithological units and decompose them in separate stages. The use of sp…

HydrologySpectral signaturemedia_common.quotation_subjectContext (language use)VegetationEnhanced vegetation indexAridNormalized Difference Vegetation IndexDesertificationGeneral Earth and Planetary SciencesPlant coverEnvironmental sciencePhysical geographymedia_commonInternational Journal of Remote Sensing
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Hyperspectral Image Classification with Kernels

2007

The information contained in hyperspectral images allows the characterization, identification, and classification of land covers with improved accuracy and robustness. However, several critical problems should be considered in the classification of hyperspectral images, among which are (a) the high number of spectral channels, (b) the spatial variability of the spectral signature, (c) the high cost of true sample labeling, and (d) the quality of data. Recently, kernel methods have offered excellent results in this context. This chapter reviews the state-of-the-art hyperspectral image classifiers, presents two recently proposed kernel-based approaches, and systematically discusses the specif…

Kernel methodSpectral signaturebusiness.industryComputer scienceHyperspectral image classificationPattern recognitionSpatial variabilityArtificial intelligencebusiness
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Quantitative analysis of localized surface plasmons based on molecular probing

2010

International audience; We report on the quantitative characterization of the plasmonic optical near-field of a single silver nanoparticle. Our approach relies on nanoscale molecular molding of the confined electromagnetic field by photoactivated molecules. We were able to directly image the dipolar profile of the near-field distribution with a resolution better than 10 nm and to quantify the near-field depth and its enhancement factor. A single nanoparticle spectral signature was also assessed. This quantitative characterization constitutes a prerequisite for developing nanophotonic applications.

Materials scienceNanophotonicsGeneral Physics and AstronomyNanoparticlePhysics::OpticsNanotechnologynanoscale photopolymerization02 engineering and technology010402 general chemistry01 natural sciencesSilver nanoparticlenear-field opticsGeneral Materials Sciencemolecular probesPlasmonComputingMilieux_MISCELLANEOUSSpectral signaturelocalized surface plasmonquantitative analysisNear-field opticsGeneral Engineering[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnology0104 chemical sciencesCharacterization (materials science)[ CHIM.POLY ] Chemical Sciences/Polymers[CHIM.POLY]Chemical Sciences/Polymers[ CHIM.MATE ] Chemical Sciences/Material chemistry[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic0210 nano-technologyLocalized surface plasmon
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Spatial Distribution of the Nonlinear Photoluminescence in Au Nanowires

2019

When gold nanowires are excited with a tightly focused femtosecond laser a distributed nonlinear photoluminescence (N-PL) develops throughout the entire structure. A complete spaced-resolved analysis of the spectral signature of the nanowire nonlinear response is carried out to understand the origin of the distributed nonlinear response. We discuss various mechanisms to explain the experimental data and unambiguously demonstrate that the spatial and spectral extension of the N-PL in the nanowire are mainly dictated by the propagation of a surface plasmon excited at the pump wavelength. We also present experimental signature of near-field excitation of a broadband continuum of surface plasmo…

Materials sciencePhotoluminescenceSpectral signatureSurface plasmonNanowirePhysics::Optics02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesMolecular physicsSurface plasmon polaritonAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials010309 opticsExcited state[PHYS.COND.CM-GEN]Physics [physics]/Condensed Matter [cond-mat]/Other [cond-mat.other]0103 physical sciencesFemtosecondEmission spectrumElectrical and Electronic Engineering[PHYS.COND]Physics [physics]/Condensed Matter [cond-mat]0210 nano-technologyComputingMilieux_MISCELLANEOUSBiotechnology
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Scene-based spectral calibration assessment of high spectral resolution imaging spectrometers

2009

An accurate knowledge of the spectral calibration of imaging spectrometers is required for optimum data processing and interpretation. The scene-based spectral characterization of imaging spectrometers is frequently necessary to update or replace the pre-flight laboratory-based spectral characterization supplied by the data provider. An automatic method for the estimation of spectral calibration parameters (channel position and bandwidth) at atmospheric absorption regions from high spectral resolution imaging spectrometers (spectral sampling interval below 5 nm) is presented in this contribution. The method has been tested on two commercial instruments with spectral sampling intervals below…

Optics and Photonicsmedicine.medical_specialtyTime FactorsNormal Distribution550 - Earth sciencesAutomationOpticsImage Processing Computer-AssistedmedicineSpectral resolutionRadiometric calibrationRemote sensingPhysicsSpectral signatureSpectrometerAtmospherebusiness.industryBandwidth (signal processing)Hyperspectral imagingAtomic and Molecular Physics and OpticsSpectral imagingSpectrometry FluorescenceSpectrophotometryFull spectral imagingCalibrationbusiness
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Sprectroradiometric characteristics of inland water bodies infestated by Oscillatoria rubescens algae

2010

In December 2006 blooms of Oscillatoria rubescens were found in the reservoir Prizzi in Sicily. Oscillatoria is a genus of filamentous alga comprising approximately 6 species, between these the O. rubescens is sadly famous since this organism produces microcystins which are powerful hepatotoxins. Firstly found in Europe in 1825 on Geneva lake, recently (2006) those algae has been find out in Pozzillo, Nicoletti e Ancipa reservoirs (Enna Province), as well as in Prizzi (Palermo Province) and Garcia reservoirs (Trapani Province). Toxins produced by those bacteria (usually called microcystine LR-1 and LR-2) are highly toxic since they can activate oncogenes cells causing cancer pathologies on …

Oscillatoria rubescensHydrologySpectral signatureOscillatoriabiologySettore ICAR/03 - Ingegneria Sanitaria-AmbientaleSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaPhysical oceanographyContaminationbiology.organism_classificationWater columnAlgaeEnvironmental scienceWater treatmentOscillatoria rubescens remote sensing
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Extraction of Endmembers from Spectral Mixtures

1999

Abstract Linear spectral mixture modeling (LSMM) divides each ground resolution element into its constituent materials using endmembers which represent the spectral characteristics of the cover types. However, it is difficult to identify and estimate the spectral signature of pure components or endmembers which form the scene, since they vary with the scale and purpose of the study. We propose three different methods to estimate the spectra of pure components from a set of unknown mixture spectra. Two of the methods consist in different optimization procedures based on objective functions defined from the coordinate axes of the dominant factors. The third one consists in the design of a neu…

Set (abstract data type)Spectral signatureArtificial neural networkSoil ScienceGeologyScale (descriptive set theory)Limit (mathematics)Noise (video)Computers in Earth SciencesSpectral lineMathematicsCurse of dimensionalityRemote sensingRemote Sensing of Environment
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