Search results for "SPECTRA"

showing 10 items of 3542 documents

Using Aerial Platforms in Predicting Water Quality Parameters from Hyperspectral Imaging Data with Deep Neural Networks

2020

In near future it is assumable that automated unmanned aerial platforms are coming more common. There are visions that transportation of different goods would be done with large planes, which can handle over 1000 kg payloads. While these planes are used for transportation they could similarly be used for remote sensing applications by adding sensors to the planes. Hyperspectral imagers are one this kind of sensor types. There is need for the efficient methods to interpret hyperspectral data to the wanted water quality parameters. In this work we survey the performance of neural networks in the prediction of water quality parameters from remotely sensed hyperspectral data in freshwater basin…

Coefficient of determinationArtificial neural networkRemote sensing applicationvesien tilaspektrikuvausHyperspectral imagingneuroverkotvedenlaatuConvolutional neural networkwater qualityPearson product-moment correlation coefficientsymbols.namesakeremote sensinghyperspectralilmakuvakartoitusMultilayer perceptronconvolutional neural networkssymbolsEnvironmental scienceWater qualitykaukokartoitusRemote sensing
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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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Localized Surface Plasmon Resonance in Colloidal Copper Sulphide (Cu2-xS, x = 0 ≤ x < 1) Nanocrystals and Its Applications

2021

Colloidally prepared copper sulphide (Cu2-xS) nanocrystals are possessing superior structural and optical properties owing to the presence of copper vacancies. The application of colloidal Cu2-xS nanocrystals are critically analysed for several optoelectronic applications. Furthermore, colloidally prepared Cu2-xS nanocrystals undergo facile process such as cation exchange, additives induced structural modifications etc. Therefore, it is important to evaluate the optical properties of these nanomaterials in order to apply them for future optoelectronic applications. Out of other properties, localized surface plasmon resonance (LSPR) by controlling composition of the Cu2-xS nanocrystals is in…

ColloidMaterials sciencechemistryNanocrystalchemistry.chemical_elementNanotechnologySurface plasmon resonanceAbsorption (electromagnetic radiation)CopperSpectral absorptionNanomaterials
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An ultraviolet receptor as a fourth receptor type in goldfish color vision

1985

Color visionbusiness.industryColour VisionGeneral MedicineBiologyReceptor typemedicine.disease_causeSpectral sensitivityOpticsmedicineOptoelectronicsbusinessReceptorUltraviolet radiationEcology Evolution Behavior and SystematicsUltravioletNaturwissenschaften
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Generators of Random Processes in Ultrametric Spaces and Their Spectra

2009

The L 2(\( \mathbb{S} \)) space of square integrable functions on an ultrametric space \( \mathbb{S} \) has rather specific structure. As a consequence in a natural way there appear in L 2(\( \mathbb{S} \)) the operators of which unitary counterparts in L 2(ℝn) would be difficult to construct. Such class of self-adjoint operators emerge from theory of random processes on ultrametric spaces. In this paper we collect known material on spectral properties of the generators of random processes on \( \mathbb{S}_B \) an ultrametric space of sequences. (The set of p-adic numbers is a subset of \( \mathbb{S}_B \).) Then we discuss structure of the eigenspaces of the generators.

CombinatoricsClass (set theory)Square-integrable functionStochastic processStructure (category theory)Space (mathematics)Ultrametric spaceUnitary stateSpectral lineMathematics
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On the spectrum of linear combinations of two projections inC*-algebras

2010

In this note, we study the spectrum and give estimations for the spectral radius of linear combinations of two projections in C*-algebras. We also study the commutator of two projections.

CombinatoricsCommutatorAlgebra and Number TheorySpectral radiusSpectrum (functional analysis)IdempotenceLinear combinationProjection (linear algebra)MathematicsLinear and Multilinear Algebra
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Perturbations of Jordan Blocks

2019

In this chapter we shall study the spectrum of a random perturbation of the large Jordan block A0, introduced in Sect. 2.4: $$\displaystyle A_0=\begin {pmatrix}0 &1 &0 &0 &\ldots &0\\ 0 &0 &1 &0 &\ldots &0\\ 0 &0 &0 &1 &\ldots &0\\ . &. &. &. &\ldots &.\\ 0 &0 &0 &0 &\ldots &1\\ 0 &0 &0 &0 &\ldots &0 \end {pmatrix}: {\mathbf {C}}^N\to {\mathbf {C}}^N. $$ Zworski noticed that for every z ∈ D(0, 1), there are associated exponentially accurate quasimodes when N →∞. Hence the open unit disc is a region of spectral instability. We have spectral stability (a good resolvent estimate) in \(\mathbf {C}\setminus \overline {D(0,1)}\), since ∥A0∥ = 1. σ(A0) = {0}.

CombinatoricsPhysicsJordan matrixsymbols.namesakeOpen unitSpectrum (functional analysis)symbolsSpectral stabilityRandom perturbationResolvent
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Postcolonial Ghosts / Fantômes Postcoloniaux

2009

As liminal beings, ghosts seem particularly appropriate to define, question or challenge hybrid cultures where several, seemingly irreconcilable, identities coexist. The present volume wonders how they manifest themselves in the English-speaking world, and whether there is a specifically postcolonial kind of haunting. The 22 articles deal with textual, translational or historical ghosts, and take us to Canada, Australia, Africa, India or the Caribbean. Poems by Gerry Turcotte literally haunt the volume, which thus juxtaposes theory and practice in a dynamic and fruitful way.

Commonwealthtraductionintertextualité[SHS.LITT]Humanities and Social Sciences/Literaturemythologieghostsmythologypostcolonial literaturetranslation[ SHS.LITT ] Humanities and Social Sciences/Literaturespectralitypolitique[SHS.LITT] Humanities and Social Sciences/Literatureintertextualitylittérature postcolonialepoliticsfantômesspectralité
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Singularity formation for Prandtl’s equations

2009

Abstract We consider Prandtl’s equations for an impulsively started disk and follow the process of the formation of the singularity in the complex plane using the singularity tracking method. We classify Van Dommelen and Shen’s singularity as a cubic root singularity. We introduce a class of initial data, uniformly bounded in H 1 , which have a dipole singularity in the complex plane. These data lead to a solution blow-up whose time can be made arbitrarily short within the class. This is numerical evidence of the ill-posedness of the Prandtl equations in H 1 . The presence of a small viscosity in the streamwise direction changes the behavior of the singularities. They stabilize at a distanc…

Complex singularitiePrandtl numberFOS: Physical sciencesRegularizing viscositySeparationPhysics::Fluid Dynamicssymbols.namesakeViscosityMathematics - Analysis of PDEsSingularityFOS: MathematicsUniform boundednessSpectral methodSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsMathematical analysisStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Condensed Matter PhysicsPrandtl–Glauert transformationPrandtl’s equationsymbolsGravitational singularitySpectral methodComplex planeAnalysis of PDEs (math.AP)Blow–up timePhysica D: Nonlinear Phenomena
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Spectral approach to the scattering map for the semi-classical defocusing Davey–Stewartson II equation

2019

International audience; The inverse scattering approach for the defocusing Davey–Stewartson II equation is given by a system of D-bar equations. We present a numerical approach to semi-classical D-bar problems for real analytic rapidly decreasing potentials. We treat the D-bar problem as a complex linear second order integral equation which is solved with discrete Fourier transforms complemented by a regularization of the singular parts by explicit analytic computation. The resulting algebraic equation is solved either by fixed point iterations or GMRES. Several examples for small values of the semi-classical parameter in the system are discussed.

ComputationFOS: Physical sciences010103 numerical & computational mathematicsFixed point01 natural sciencesRegularization (mathematics)[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]Davey-Stewartson equationsFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematics[MATH]Mathematics [math]Mathematics[PHYS]Physics [physics]Nonlinear Sciences - Exactly Solvable and Integrable SystemsScattering010102 general mathematicsStatistical and Nonlinear PhysicsD-bar problemsNumerical Analysis (math.NA)Condensed Matter PhysicsFourier spectral methodGeneralized minimal residual methodIntegral equationAlgebraic equationInverse scattering problemExactly Solvable and Integrable Systems (nlin.SI)Limit
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