Search results for " IMAGE"

showing 10 items of 3936 documents

Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations

2015

Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects (parameterized here by the parameter) on a global scale from AMSR-E (Advanced Microwave Scanning Radiometer for EOS) observations. AMSR-E brightness temperatures at 6.9 GHz obtained from January 2009 to September 2011, together with estimations of soil moisture from the SMOS (Soil Moisture and Ocean Salinity) L3 products and of soil temperature from ECMWF’s (European Centre for Medium-range Weather Forecasting) were used as inputs in a retrieval…

010504 meteorology & atmospheric sciencestélédétectionScience0211 other engineering and technologiesWeather forecasting[SDU.STU]Sciences of the Universe [physics]/Earth SciencesElectromagnétismesoil surface roughness02 engineering and technologySurface finishcomputer.software_genredonnée satellite01 natural sciencesSciences de la TerreNormalized Difference Vegetation Indexsoil moisture;soil surface roughness;AMSR-EElectromagnetismEmissivitySurface roughnessTraitement du signal et de l'image14. Life underwaterWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometercapteur smosQSignal and Image processingradiométrie microondesVegetationAMSR-E15. Life on land[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismEarth SciencesGeneral Earth and Planetary SciencesEnvironmental sciencesoil moisturecomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingRemote Sensing
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« On-the-go » multispectral imaging system to characterize the development of vineyard foliage

2015

International audience; In Precision Viticulture, multispectral imaging systems are currently used in remote sensing for vineyard vigor characterization but few are employed in proximal sensing. This work presents the potential of a proximal multispectral imaging system mounted on a track-laying tractor equipped with a Greenseeker RT-100 to provide an NDVI index. The camera acquired visible and near-infrared images which were calibrated in reflectance. Vegetation indices were computed and compared to Greenseeker data. From two of the resulting datasets, a spatio-temporal study of foliage description through both optical systems is presented. This first study assessed the proximal imagery re…

0106 biological sciences010104 statistics & probability[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingNDVImultispectral imagingfoliage characterizationprecision viticulture15. Life on land0101 mathematics01 natural sciencesin-field acquisition010606 plant biology & botany
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The mapping of the Posidonia oceanica (L.) Delile barrier reef meadow in the southeastern Gulf of Tunis (Tunisia)

2016

Abstract Barrier reefs are among the most important ecomorphosis for Posidonia oceanica meadows and have long been subjected to anthropic pressures. The authors mapped the entire Sidi Rais (northeastern Tunisia) Posidonia oceanica barrier reef by means of remote sensing based on processing a satellite image acquired via Google Earth © software, coupled with field observations obtained by snorkeling. The map thus produced represents the P. oceanica barrier reef in its current state, covering a total area of 156.77 ha, the reef being divided into three distinct sections separated by reverse flows with each section subject to varied anthropic factors and disturbances.

0106 biological sciences010504 meteorology & atmospheric sciencesCymodocea nodosaBarrier reefSnorkeling01 natural sciences[ SDE ] Environmental SciencesSatellite image14. Life underwaterBarrier reef mappingReef0105 earth and related environmental sciencesEarth-Surface ProcessesgeographyCymodocea nodosageography.geographical_feature_categorybiologybusiness.industry010604 marine biology & hydrobiologyPosidonia oceanicaGeologybiology.organism_classificationCurrent (stream)OceanographyRemote sensing (archaeology)Anthropic impactPosidonia oceanica[SDE]Environmental SciencesbusinessGeologyJournal of African Earth Sciences
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Root architectural traits of rooted cuttings of two fig cultivars: Treatments with arbuscular mycorrhizal fungi formulation

2021

Abstract Many fruit tree species develop symbioses relationships with mycorrhizal fungi by which they improve their efficiency in water and nutrient uptake and, in turn, increase their vegetative growth and productivity, particularly under stressful environments. These benefits origin from the effects that mycorrhizal determined on the root architecture, morphology and physiology. Usually, few attentions has been devoted to the tree root structure and function, especially, in fig plants during their growth phase in the nursery. Recently, several root traits or phenes have been reported as fundamental for the root functions such as the root length ratio (plant’s potential for the exploitatio…

0106 biological sciences0301 basic medicinebiologyVegetative reproductionfungiFicusHorticulturebiology.organism_classification01 natural sciencesArbuscular mycorrhizal fungi Fig Image analysis Root architecture Root morphology Rooted cuttingSettore AGR/03 - Arboricoltura Generale E Coltivazioni Arboree03 medical and health sciencesHorticultureCutting030104 developmental biologyNutrientSymbiosisCultivarCaricaFruit tree010606 plant biology & botany
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Benchmark database for fine-grained image classification of benthic macroinvertebrates

2018

Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and proportion of certain species. This paper presents a benchmark database for automatic visual classification methods to evaluate their ability for distinguishing visually similar categories of aquatic macroinvertebrate taxa. We make publicly available a new database, containing 64 types of freshwater macroinvertebrates, ranging in number of images per category from 7 to 577. The database is divided into three datasets, varying in number of categories (64, 29, and 9 categori…

0106 biological sciencesComputer scienceta1172Sample (statistics)monitorointi02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural network0202 electrical engineering electronic engineering information engineeringkonenäköfine-grained classification14. Life underwaterFine-grained classificationInvertebrateta113ta112Contextual image classificationbusiness.industry010604 marine biology & hydrobiologyDeep learningConvolutional Neural NetworksBenchmark databasedeep learningPattern recognitionDeep learningselkärangattomatvedenlaatu6. Clean waterkoneoppiminenBenthic zoneBenthic macroinvertebratesbiomonitoringSignal ProcessingBiomonitoringta1181lajinmääritys020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceWater qualitybusinessbenthic macroinvertebrates
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Temperate Fish Detection and Classification: a Deep Learning based Approach

2021

A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize species captured on film. Classifying fish species from videos and images in natural environments can be challenging because of noise and variation in illumination and the surrounding habitat. In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering. The first step is to detect each single fish in an image, independent of species and sex. For this purpose, we employ the You Only Look Once (YOLO) …

0106 biological sciencesFOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition010603 evolutionary biology01 natural sciencesConvolutional neural networkVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Machine Learning (cs.LG)Artificial IntelligenceClassifier (linguistics)FOS: Electrical engineering electronic engineering information engineeringbusiness.industry010604 marine biology & hydrobiologyDeep learningImage and Video Processing (eess.IV)Process (computing)Pattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingObject detectionA priori and a posterioriNoise (video)Artificial intelligenceTransfer of learningbusiness
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Use of Leaf and Fruit Morphometric Analysis to Identify and Classify White Mulberry (Morus alba L.) Genotypes

2018

Digital image analysis and multivariate data analysis were used in this study to identify a set of leaf and fruit morphometric traits to discriminate white mulberry (Morus alba L.) cultivars. The trial was conducted using three- to five-year-old potted cuttings of several white mulberry cultivars. 32 leaf morphometric descriptors were recorded in 2011 and 2012 from 11 mulberry cultivars using image analysis of scanned leaves, whereas six fruit descriptors were recorded in 2011 from nine mulberry cultivars. Linear discriminant analysis (LDA) was used to identify a subset of measured variables that could discriminate the cultivars in trial. Biplot analysis, followed by cluster analysis, was p…

0106 biological sciencesLinear discriminant analysifood.ingredientlinear discriminant analysisBiplotPlant ScienceBiology01 natural sciencesCutting0404 agricultural biotechnologyfoodGenotypedescriptordigital image analysisLeaf sizeCultivarlcsh:Agriculture (General)MorphometricsMultivariate analysi<i>Morus alba</i>Digital image analysi04 agricultural and veterinary sciencesLinear discriminant analysislcsh:S1-972040401 food scienceMorus albaHorticulturemultivariate analysisWhite MulberryAgronomy and Crop Sciencebiplot010606 plant biology & botanyFood ScienceAgriculture
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Long slide holders for microscope stages

2018

ABSTRACT The use of automated techniques for image analysis of microscopic wood specimens together with new procedures for the preparation of stained xylem tissue support the use of quantitative wood anatomy. These techniques and procedures are especially useful in the studies of retrospective analysis of xylem phenology, reaction(s) of trees to stressful conditions of growth, or reconstruction of long-term growth trends. The unresolved technical problems during the digitalization of cross sections from entire increment cores were stabilization and precise shifting of long microscopic specimens onto the optical microscope stage. For this reason, we have developed a long slide holder for mic…

0106 biological sciencesMicroscope010504 meteorology & atmospheric sciencesquantitative image analysisForestryPlant Science01 natural sciencesmicro sectioningMicroscopic imaginglaw.inventionOptical microscopelawQWAMicroscopic imagingRetrospective analysis010606 plant biology & botany0105 earth and related environmental sciencesBiomedical engineeringIAWA Journal
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Large Spatial Scale of the Phenotype-Environment Color Matching in Two Cryptic Species of African Desert Jerboas (Dipodidae: Jaculus)

2014

We tested the camouflage hypothesis, or the linkage between animal (Saharan rodent) and habitat coloration, on the largest geographical scale yet conducted. We aimed to determine whether phenotypic variation is explained by micro-habitat variation and/or genetic polymorphism to determine 1) the strength of linkage between fur color and local substrate color, and 2) the divergence in fur coloration between two genetic clades, representing cryptic species, throughout the complete range of the African desert jerboas (Jaculus jaculus). We used a combination of museum and field-collected specimens, remote sensing tools, satellite and digital photography and molecular genetic and phylogenetic met…

0106 biological sciencesRange (biology)Skin Pigmentation01 natural sciencesDipodidaeJaculus jaculusGeoinformaticsPhylogeny0303 health sciencesMultidisciplinaryRemote Sensing ImageryPhylogenetic treeEcologyGeographyPigmentationQRCytochromes cBiological EvolutionPhenotypeSympatric speciationMedicineResearch ArticleSpecies complexComputer and Information SciencesScienceZoologyRodentiaBiologyEnvironment010603 evolutionary biology03 medical and health sciencesGenetic variationAnimalsSelection Genetic030304 developmental biologyEvolutionary BiologySpatial AnalysisPolymorphism GeneticEcology and Environmental SciencesBiology and Life SciencesGenetic Variation15. Life on landbiology.organism_classificationGenetic divergenceHaplotypesEvolutionary EcologyRemote Sensing TechnologyEarth Sciencesta1181HairPlos One
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Improving the analysis of biogeochemical patterns associated with internal waves in the strait of Gibraltar using remote sensing images

2018

High Amplitude Internal Waves (HAIWs) are physical processes observed in the Strait of Gibraltar (the narrow channel between the Atlantic Ocean and the Mediterranean Sea). These internal waves are generated over the Camarinal Sill (western side of the strait) during the tidal outflow (toward the Atlantic Ocean) when critical hydraulic conditions are established. HAIWs remain over the sill for up to 4 h until the outflow slackens, being then released (mostly) towards the Mediterranean Sea. These have been previously observed using Synthetic Aperture Radar (SAR), which captures variations in surface water roughness. However, in this work we use high resolution optical remote sensing, with the…

0106 biological sciencesSynthetic aperture radargeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesStrait of GibraltarHICO010604 marine biology & hydrobiologyMultispectral imageHigh amplitude internal wavesHyperspectral imagingAquatic ScienceInternal waveOceanography01 natural sciencesMediterranean seaAlgeciras baySillOutflowSatelliteSentinel-2Geology0105 earth and related environmental sciencesRemote sensingEstuarine, Coastal and Shelf Science
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