Search results for "imatges processament"

showing 5 items of 25 documents

Synergistic integration of optical and microwave satellite data for crop yield estimation

2019

Developing accurate models of crop stress, phenology and productivity is of paramount importance, given the increasing need of food. Earth observation (EO) remote sensing data provides a unique source of information to monitor crops in a temporally resolved and spatially explicit way. In this study, we propose the combination of multisensor (optical and microwave) remote sensing data for crop yield estimation and forecasting using two novel approaches. We first propose the lag between Enhanced Vegetation Index (EVI) derived from MODIS and Vegetation Optical Depth (VOD) derived from SMAP as a new joint metric combining the information from the two satellite sensors in a unique feature or des…

Signal Processing (eess.SP)FOS: Computer and information sciencesEarth observationCoefficient of determinationTeledetecció010504 meteorology & atmospheric sciencesEnhanced vegetation index0208 environmental biotechnologyFOS: Physical sciencesSoil Science02 engineering and technologyStatistics - Applications01 natural sciencesArticleModerate resolution imaging spectroradiometer (MODIS)Robustness (computer science)Machine learningLinear regressionFOS: Electrical engineering electronic engineering information engineeringFeature (machine learning)Kernel ridge regressionCrop yield estimationVegetation optical depthApplications (stat.AP)Electrical Engineering and Systems Science - Signal ProcessingComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerCrop yieldProcessos estocàsticsGeologyEnhanced vegetation indexAgro-ecosystems020801 environmental engineeringPhysics - Data Analysis Statistics and ProbabilityMetric (mathematics)Soil moisture active passive (SMAP)Data Analysis Statistics and Probability (physics.data-an)Imatges Processament
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Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

2019

The availability of satellite optical information is often hampered by the natural presence of clouds, which can be problematic for many applications. Persistent clouds over agricultural fields can mask key stages of crop growth, leading to unreliable yield predictions. Synthetic Aperture Radar (SAR) provides all-weather imagery which can potentially overcome this limitation, but given its high and distinct sensitivity to different surface properties, the fusion of SAR and optical data still remains an open challenge. In this work, we propose the use of Multi-Output Gaussian Process (MOGP) regression, a machine learning technique that learns automatically the statistical relationships among…

Synthetic aperture radarFOS: Computer and information sciencesComputer Science - Machine LearningTeledetecció010504 meteorology & atmospheric sciencesMean squared error0208 environmental biotechnologySoil ScienceFOS: Physical sciencesMachine Learning (stat.ML)02 engineering and technology01 natural sciencesArticlelaw.inventionMachine Learning (cs.LG)symbols.namesakelawStatistics - Machine LearningFOS: Electrical engineering electronic engineering information engineeringComputers in Earth SciencesRadarLeaf area indexCluster analysisGaussian process0105 earth and related environmental sciencesRemote sensingMathematicsImage and Video Processing (eess.IV)Processos estocàsticsGeologyElectrical Engineering and Systems Science - Image and Video ProcessingSensor fusionRegression020801 environmental engineeringPhysics - Data Analysis Statistics and ProbabilitysymbolsData Analysis Statistics and Probability (physics.data-an)Imatges Processament
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Mobile Learning en las Artes Visuales. Un acercamiento a las experiencias educativas artística con smartphones en los últimos años.

2020

La presente aportación hace una referencia inicial a aspectos teóricos sobre la relevancia del aprendi zaje en movilidad como alternativa para el aprendizaje mediante imágenes. Adentrándonos en el tema, exponemos una revisión de experiencias educativas incipientes, desarrolladas en la última década, sobre el uso de dispositivos móviles en las artes visuales, concretamente con teléfonos móviles. Se trata de un momento ciertamente árido en cuanto a publicaciones científicas que supongan aportaciones al bino mio artes y Mobile Learning. Entorno al año 2006, emerge tímidamente alguna actividad de carácter informal en España, y en 2007 los diarios digitales de Argentina registran también alguna …

Telèfon mòbilArt EnsenyamentImatges ProcessamentCiència Ensenyament
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Mapping productivity and essential biophysical parameters of cultivated tropical grasslands from sentinel-2 imagery.

2020

Nitrogen (N) is the main nutrient element that maintains productivity in forages

productivityTeledetecció010504 meteorology & atmospheric sciencesNitrogenTropical and subtropical grasslands savannas and shrublandsUrochloa brizanthaBiomassaPanicum01 natural sciencesNormalized Difference Vegetation IndexGrasslandCapim Urochloalcsh:AgriculturePastagemremote sensingVegetation indexUrochloaNitrogênioLeaf area indexPASTAGENS0105 earth and related environmental sciencesProductivityBiomass (ecology)geographygeography.geographical_feature_categoryleaf area indexbiology<i>Panicum</i>PasturesUrochloa decumbenslcsh:S04 agricultural and veterinary sciencesVegetationRemote sensingbiology.organism_classificationTropical grasslandsBiomass productionAgronomyProductivity (ecology)vegetation indicesLeaf area index040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSentinel-2<i>Urochloa</i>Agronomy and Crop ScienceImatges ProcessamentSensoriamento Remoto
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A Multi-Projector Calibration Method for Virtual Reality Simulators with Analytically Defined Screens

2017

The geometric calibration of projectors is a demanding task, particularly for the industry of virtual reality simulators. Different methods have been developed during the last decades to retrieve the intrinsic and extrinsic parameters of projectors, most of them being based on planar homographies and some requiring an extended calibration process. The aim of our research work is to design a fast and user-friendly method to provide multi-projector calibration on analytically defined screens, where a sample is shown for a virtual reality Formula 1 simulator that has a cylindrical screen. The proposed method results from the combination of surveying, photogrammetry and image processing approac…

simulatorComputer scienceCalibration (statistics)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technologyVirtual realitylcsh:Computer applications to medicine. Medical informatics01 natural scienceslcsh:QA75.5-76.95010309 opticsSimulació per ordinadorComputer graphics (images)0103 physical sciences0202 electrical engineering electronic engineering information engineeringimage processing; projector calibration; virtual reality; simulator; surveyingRadiology Nuclear Medicine and imagingPoint (geometry)lcsh:PhotographysurveyingElectrical and Electronic EngineeringRealitat virtualProcess (computing)020207 software engineeringlcsh:TR1-1050Computer Graphics and Computer-Aided DesignSample (graphics)projector calibrationimage processingTask (computing)Photogrammetryvirtual realitylcsh:R858-859.7lcsh:Electronic computers. Computer scienceComputer Vision and Pattern RecognitionImatges ProcessamentJournal of Imaging
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