Search results for "principal component analysi"

showing 10 items of 489 documents

A Comparative Study and an Evaluation Framework of Multi/Hyperspectral Image Compression

2009

In this paper, we investigate different approaches for multi/hyperspectral image compression. In particular, we compare the classic multi-2D compression approach and two different implementations of 3D approach (full 3D and hybrid) with regards to variations in spatial and spectral dimensions. All approaches are combined with a weighted Principal Component Analysis (PCA) decorrelation stage to optimize performance. For consistent evaluation, we propose a larger comparison framework than the conventionally used PSNR, including eight metrics divided into three families. The results show the weaknesses and strengths of each approach.

Set partitioning in hierarchical treesWaveletPixelbusiness.industryPrincipal component analysisMultispectral imageWavelet transformHyperspectral imagingPattern recognitionArtificial intelligencebusinessDecorrelationMathematics2009 Fifth International Conference on Signal Image Technology and Internet Based Systems
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Survival, morphological variability, and performance of Opuntia ficus-indica in a semi-arid region of India

2022

Cactus pear (Opuntia ficus-indica (L.) Mill.) can survive extreme environmental condition and is known for its fodder potential in many parts of the world. The morphological diversity of 15 introduced accessions was evaluated at Jhansi, Uttar Pradesh, India. The plants were established in 2013. Survival and nutrient status were evaluated after two years. Above-ground plant height, biomass, primary and secondary cladode numbers, primary and secondary cladode lengths and below-ground root length, weight, and surface area measurements were done six years after cladode planting. Yellow San Cono, White Roccapalumba, and Seedless Roccapalumba survived 100%. The discriminant traits according to pr…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeSoil ScienceCactus pear cladode fodder principal component analysis root architectureAgronomy and Crop Science
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Genetic structure in the Mediterranean seagrass Posidonia oceanica: disentangling past vicariance events from contemporary patterns of gene flow

2010

The Mediterranean Sea is a two-basin system, with the boundary zone restricted to the Strait of Sicily and the narrow Strait of Messina. Two main population groups are recognized in the Mediterranean endemic seagrass Posidonia oceanica, corresponding to the Western and the Eastern basins. To address the nature of the East-West cleavage in P. oceanica, the main aims of this study were: (i) to define the genetic structure within the potential contact zone (i.e. the Strait of Sicily) and clarify the extent of gene flow between the two population groups, and (ii) to investigate the role of present water circulation patterns vs. past evolutionary events on the observed genetic pattern. To achiev…

Settore BIO/07 - EcologiaGene Flow0106 biological sciencesMediterranean climatePosidoniaDNA PlantGenotypePopulationVicarianceMediterranean010603 evolutionary biology01 natural sciencesEvolution MolecularMediterranean seaMediterranean SeaWater MovementsGeneticsVicarianceComputer Simulation14. Life underwaterdispersal simulation Mediterranean Posidonia oceanica simple sequence repeat transition zone vicarianceeducationEcology Evolution Behavior and SystematicsPrincipal Component Analysiseducation.field_of_studyAlismatalesPolymorphism GeneticGeographybiologyEcology010604 marine biology & hydrobiologyTransition zoneDispersal simulationPosidonia oceanicaSequence Analysis DNAbiology.organism_classificationSettore BIO/18 - GeneticaGenetics PopulationPosidonia oceanicaGenetic structureBiological dispersalSimple sequence repeatMicrosatellite Repeats
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Spatial noise-aware temperature retrieval from infrared sounder data

2020

In this paper we present a combined strategy for the retrieval of atmospheric profiles from infrared sounders. The approach considers the spatial information and a noise-dependent dimensionality reduction approach. The extracted features are fed into a canonical linear regression. We compare Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF) for dimensionality reduction, and study the compactness and information content of the extracted features. Assessment of the results is done on a big dataset covering many spatial and temporal situations. PCA is widely used for these purposes but our analysis shows that one can gain significant improvements of the error rates when using…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine Learningbusiness.industryComputer scienceDimensionality reductionFeature extraction0211 other engineering and technologiesWord error ratePattern recognitionRegression analysis02 engineering and technologyMachine Learning (cs.LG)Principal component analysisLinear regression0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceElectrical Engineering and Systems Science - Signal ProcessingbusinessSpatial analysis021101 geological & geomatics engineering
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FTIR Monitoring of Chemical Changes in Softwood During Heating

2000

Abstract A multivariate chemometric method for monitoring the mass loss of Scots pine (Pinus sylvestris) and Norway spruce (Picea abies) by IR spectroscopic determination of chemical changes occurring during the heat treatment (160 - 260 °C, 2 - 8 h) of these wood materials was developed. The method was based on the handling of FTIR data on treated and untreated wood powder samples by the partial least squares (PLS) method. In addition, unknown samples (treated and untreated pine and spruce) were classified into separate groups by the principal component analysis (PCA) method. The chemical changes occurring in the wood samples during heating were also briefly discussed.

SoftwoodbiologyChemistryGeneral Chemical EngineeringfungiScots pinePicea abiesGeneral Chemistrybiology.organism_classificationcomplex mixturesEnvironmental chemistryPartial least squares regressionPrincipal component analysisBotanyGeneral Materials ScienceFourier transform infrared spectroscopyChemical compositionWoody plantJournal of Wood Chemistry and Technology
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Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database

2012

International audience; Large soil spectral libraries compiling thousands of NIR (Near Infrared) reflectance spectra have been created encompassing a wide diversity and heterogeneity of spectra. Among the many chemometric approaches to the calibration of chemical and physical properties from these large libraries, local calibrations have the advantage of being able to select the most similar spectra to the spectrum of a target sample. This is particularly relevant when dealing with highly heterogeneous media such as soils, where the mineral matrix has a strong influence on spectral features. A crucial step in the implementation of local calibration procedures is the construction of local ne…

Soil testCorrelation coefficientnear infrared spectroscopy[SDV]Life Sciences [q-bio]Fast Fourier transformfast fourier transformsample selection010501 environmental sciences01 natural sciencesAnalytical ChemistryStatisticsPartial least squares regressionsoil spectral databaseSpectroscopySelection (genetic algorithm)0105 earth and related environmental sciencesMathematicscompression methodsMahalanobis distancelocal calibrationbusiness.industryProcess Chemistry and TechnologyLocal regressionPattern recognition04 agricultural and veterinary sciences15. Life on landComputer Science Applications[SDE]Environmental SciencesPrincipal component analysis040103 agronomy & agriculture0401 agriculture forestry and fisheriesArtificial intelligencebusinessSoftwareChemometrics and Intelligent Laboratory Systems
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Sampling strategy in molecular microbial ecology: influence of soil sample size on DNA fingerprinting analysis of fungal and bacterial communities.

2003

Assessing soil microbial community structure by the use of molecular techniques requires a satisfactory sampling strategy that takes into account the high microbial diversity and the heterogeneous distribution of microorganisms in the soil matrix. The influence of the sample size of three different soil types (sand, silt and clay soils) on the DNA yield and analysis of bacterial and fungal community structure were investigated. Six sample sizes from 0.125 g to 4 g were evaluated. The genetic community structure was assessed by automated ribosomal intergenic spacer analysis (A-RISA fingerprint). Variations between bacterial (B-ARISA) and fungal (F-ARISA) community structure were quantified b…

Soil testRibosomal Intergenic Spacer analysisSoil scienceBiologyMicrobiologyPolymerase Chain Reaction03 medical and health sciencesSoilMicrobial ecologyBotanyDNA Ribosomal SpacerBiomass[SDV.MP] Life Sciences [q-bio]/Microbiology and ParasitologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSSoil Microbiology030304 developmental biology2. Zero hunger0303 health sciencesPrincipal Component AnalysisPolymorphism GeneticBacteriaEcology030306 microbiologyCommunity structureFungiSoil classificationDNA15. Life on landBIOLOGIE MOLECULAIRESoil typeDNA Fingerprinting[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMicrobial population biologySoil waterElectrophoresis Polyacrylamide GelEnvironmental microbiology
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The evolutionary history of the Arabidopsis arenosa complex: diverse tetraploids mask the Western Carpathian center of species and genetic diversity.

2012

The Arabidopsis arenosa complex is closely related to the model plant Arabidopsis thaliana. Species and subspecies in the complex are mainly biennial, predominantly outcrossing, herbaceous, and with a distribution range covering most parts of latitudes and the eastern reaches of Europe. In this study we present the first comprehensive evolutionary history of the A. arenosa species complex, covering its natural range, by using chromosome counts, nuclear AFLP data, and a maternally inherited marker from the chloroplast genome [trnL intron (trnL) and trnL/F intergenic spacer (trnL/F-IGS) of tRNA(Leu) and tRNA(Phe), respectively]. We unravel the broad-scale cytogeographic and phylogeographic pa…

Species complexAngiospermsPlant EvolutionScienceArabidopsisPopulation geneticsOutcrossingPlant ScienceSubspeciesPlant GeneticsChromosomes PlantArabidopsis arenosaSpecies SpecificityBotanyIce CoverEvolutionary SystematicsAmplified Fragment Length Polymorphism AnalysisBiologyTaxonomyEcotypeGenetic diversityPrincipal Component AnalysisEvolutionary BiologyMultidisciplinaryEcotypebiologyBase SequenceGeographyQRDNA ChloroplastGenetic VariationComputational BiologyPlant TaxonomyPlantsbiology.organism_classificationBiological EvolutionDiploidyEuropeTetraploidyPhylogeographyddc:580HaplotypesBiogeographyEarth SciencesMedicinePopulation GeneticsResearch ArticlePloS one
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Wing morphometrics as a possible tool for the diagnosis of the Ceratitis fasciventris, C. anonae, C. rosa complex (Diptera, Tephritidae)

2015

Abstract Previous attempts to resolve the Ceratitis FAR complex (Ceratitis fasciventris, Ceratitis anonae, Ceratitis rosa, Diptera, Tephritidae) showed contrasting results and revealed the occurrence of five microsatellite genotypic clusters (A, F1, F2, R1, R2). In this paper we explore the potential of wing morphometrics for the diagnosis of FAR morphospecies and genotypic clusters. We considered a set of 227 specimens previously morphologically identified and genotyped at 16 microsatellite loci. Seventeen wing landmarks and 6 wing band areas were used for morphometric analyses. Permutational multivariate analysis of variance detected significant differences both across morphospecies and g…

Species complexInsectaArthropodaDipteraAnimaliarosaTephritidaeCeratitis fasciventrisAnimaliaCeratitisCeratitisBiologyfasciventrisEcology Evolution Behavior and Systematicsintegrative taxonomyMorphometricscryptic speciesWingbiologyEcologyDipteraTephritidaeanonaeCeratitis rosaposterior group membership probabilitywing morphometricsCeratitis rosabiology.organism_classificationCeratitis fasciventrisAnimaliaEvolutionary biologyfruit fliesPrincipal component analysista1181MicrosatellitePosterior Group Membership ProbabilityCeratitis anonaeAnimal Science and ZoologyResearch Article
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Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint

2020

The potential of nondestructive prediction of egg freshness based on near-infrared (NIR) spectra fingerprints would be beneficial to quality control officers and consumers alike. In this study, handheld NIR spectrometer in the range of 740 nm to 1070 nm and chemometrics were used to simultaneously determine egg freshness based on marked date of lay for eggs stored under cold and ambient conditions. The spectra acquired from the eggs were preprocessed using multiplicative scatter correction and principal component analysis (MSC-PCA). Linear discriminant analysis (LDA) was used to build identification model to predict the category of freshness, while partial least square regression (PLS-R) wa…

SpectrometerArticle Subjectbusiness.industry010401 analytical chemistry0402 animal and dairy scienceCold storagePattern recognitionQC350-46704 agricultural and veterinary sciencesOptics. LightLinear discriminant analysis040201 dairy & animal science01 natural sciencesAtomic and Molecular Physics and Optics0104 chemical sciencesAnalytical ChemistryChemometricsFingerprintPartial least squares regressionPrincipal component analysisCalibrationArtificial intelligencebusinessSpectroscopyMathematicsJournal of Spectroscopy
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