Search results for "LiDAR"

showing 10 items of 475 documents

Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

2020

Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include the detection of individual trees, tree species classification, biomass estimation, etc. Deep neural networks (DNN) have shown superior results when comparing with conventional machine learning methods such as multi-layer perceptron (MLP) in cases of huge input data. The objective of this research is to investigate 3D convolutional neural networks (3D-CNN) to classify three major tree species in a boreal forest: pine, spruce, and birch. The proposed 3D-CNN models were emp…

010504 meteorology & atmospheric sciencesComputer sciencehyperspectral image classificationScience0211 other engineering and technologiesgeoinformatics02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural networkpuulajitPARAMETERSSet (abstract data type)LIDARFORESTSClassifier (linguistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryDeep learningspektrikuvausQHyperspectral imagingdeep learningPattern recognition15. Life on landmiehittämättömät ilma-aluksetPerceptron113 Computer and information sciencesClass (biology)drone imagery3d convolutional neural networksmetsänarviointiMACHINEkoneoppiminentree species classification3D convolutional neural networksGeneral Earth and Planetary SciencesRGB color modelArtificial intelligencekaukokartoitusbusinesshyperspectral image classificationRemote Sensing
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Traitement de données RGB et Lidar à extrêmement haute résolution: retombées de la compétition de fusion de données 2015 de l'IEEE GRSS - Partie A / …

2016

International audience; In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource studies. The 2015 edition of the contest proposed a multiresolution and multisensorial challenge involving extremely high-resolution RGB images and a three-dimensional (3-D) LiDAR point cloud. The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this paper, we discuss the sci…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceMULTIMODAL-DATA FUSIONGeophysics. Cosmic physics0211 other engineering and technologies02 engineering and technologyCONTESTcomputer.software_genre01 natural sciencesOutcome (game theory)LIDARTraitement des imagesIMAGE ANALYSIS AND DATA FUSION (IADF)DEEP NEURAL NETWORKSDeep neural networksTraitement du signal et de l'imageMULTIRESOLUTION910 Geography & travelMultiresolutionGround truthLANDCOVER CLASSIFICATIONIMAGE AERIENNE1903 Computers in Earth SciencesBenchmarkingVision par ordinateur et reconnaissance de formesOcean engineering10122 Institute of GeographyLidarDeep neural networksData miningExtremely high spatial resolutionMultimodal-data fusionLiDARComputers in Earth Sciences; Atmospheric ScienceImage analysis and data fusion (IADF)EXTREMELY HIGH SPATIAL RESOLUTIONCLASSIFICATIONTRAITEMENT IMAGE1902 Atmospheric ScienceAPPRENTISSAGE STATISTIQUEComputers in Earth SciencesTELEDETECTIONSynthèse d'image et réalité virtuelleTC1501-1800021101 geological & geomatics engineering0105 earth and related environmental sciencesLandcover classificationmultiresolution-[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]QC801-809Intelligence artificielleMULTISOURCESensor fusionRGB color modelcomputerMultisource
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Efectos perversos de la multiculturalidad

2005

Vidal-Beneyto JoséEspacio públicoDiversidad culturalColectivosFragmentaciónRadicalizaciónConsecuenciasEfectos perversosSociedades mediáticasRiesgoIdentidadInmigrantesDerechos HumanosPublicaciones: Obra periodística: Columnas y artículos de opiniónParticularRepresentaciónCiudadanos solidariosCoexistenciaInteresesCONFLICTIVIDADMULTICULTURALIDADRivalidadesUniversal
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Apport de la topographie par LiDAR aéroporté à la caractérisation volumique et spatiale d’amas de déchets sidérurgiques. L’exemple des ateliers de Mo…

2022

Parmi les grands districts de production de fer brut connus, la Puisaye (Bourgogne du nord – Yonne et Nièvre) figure parmi les plus importants à l’échelle métropolitaine, si ce n’est à l’échelle européenne. Plus de 2500 amas de déchets, marquant l’emplacement d’ateliers de réduction du minerai de fer, sont ainsi connus en prospections (Piétak et al. 2012). Les résultats des travaux engagés depuis 2017 dans le cadre d’un Projet Collectif de Recherche, financé par la DRAC Bourgogne-Franche-Comté et le CNRS, ont permis de révéler la continuité de ces activités de production du fer depuis le premier âge du fer jusqu’au second Moyen âge. Pour la période antique, ces amas de déchets se caractéris…

LiDAR[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistorycalcul de volumeFerrierorganisation spatialesidérurgie antiqueMontholonPuisaye
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‘I think I will need help’: A systematic review of who facilitates the recovery from gender‐based violence and how they do so

2020

Context A key to advancing the eradication of gender-based violence (GBV) is knowing how to recover from it. Objective To identify the changes that are indicators of having overcome GBV and determine the role of various support networks. Search strategy We systematically searched Web of Science. Inclusion criteria Publications whose abstracts contained a minimum of two of the following words: (a) support or network or solidarity, (b) violence and (c) recovery or healing. Data extraction and synthesis Of the 273 documents retrieved, 52 were used using a narrative synthesis approach. Main results For recovery, women must reconnect with themselves, with their environment and with the world in …

Poison controlContext (language use)Gender-Based ViolenceReview Article03 medical and health sciencesrecovery0302 clinical medicineIntervention (counseling)HumansNarrative030212 general & internal medicineSurvivorsWomen -- Abuse ofReview ArticlesVíctimeslcsh:R5-920NarrationsupportViolència envers les donesbusiness.industry030503 health policy & servicesgender‐based violencelcsh:Public aspects of medicineSocializationsolidarity networksPublic Health Environmental and Occupational HealthHuman factors and ergonomicslcsh:RA1-1270Public relationsHarassmentFemale0305 other medical sciencePsychologybusinesslcsh:Medicine (General)Inclusion (education)Health Expectations
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Microphysical and radiative characterization of a subvisible midlevel Arctic ice cluod by airborne observations - a case study

2009

During the Arctic Study of Tropospheric Aerosol, Clouds and Radiation (ASTAR) campaign, which was conducted in March and April 2007, an optically thin ice cloud was observed south of Svalbard at around 3 km altitude. The microphysical and radiative properties of this particular subvisible midlevel cloud were investigated with complementary remote sensing and in situ instruments. Collocated airborne lidar remote sensing and spectral solar radiation measurements were performed at a flight altitude of 2300 m below the cloud base. Under almost stationary atmospheric conditions, the same subvisible midlevel cloud was probed with various in situ sensors roughly 30 min later. <br><br> …

Atmospheric Science010504 meteorology & atmospheric sciencesASTARArktische GrenzschichtMischphasenwolken[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/MeteorologyAtmospheric sciences01 natural sciences010309 opticslcsh:Chemistry0103 physical sciencesRadiative transferPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesRemote sensing[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]geographyIce cloudLidargeography.geographical_feature_categoryIce crystalsNephelometerCloud topArctic ice packlcsh:QC1-999Lidarlcsh:QD1-99913. Climate actionCloud albedoEnvironmental scienceAstrophysics::Earth and Planetary Astrophysicslcsh:PhysicsWolkenphysik und Verkehrsmeteorologie
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Comparison in terms of TOF measurements between APD and SiPM for LiDAR applications

2016

We present an experimental comparison of two LiDAR systems, employing the SiPM and the APD as photodetectors, in terms of TOF measurements differing for the distance of the target and at different intensities of ambient light. The use of the APD represents the conventional approach, while the implementation of the SiPM is innovative. The performed measurements achieved very promising results, thus demonstrating the effectiveness of our LiDAR based on SiPM.

LiDARSiPMTOFAPDphotodetectorTime of FlightSettore ING-INF/01 - ElettronicaSilicon PhotoMultiplier
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Integrazione di dati LIDAR ed immagini aeree per la generazione di modelli territoriali 3D realistici

2009

LIDAR GIS
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Cloud top altitude retrieved from Lidar measurements during ACLOUD at 1 second resolution

2021

During the ACLOUD aircraft campaign (23.5.2017 - 26.6.2017) the AMALi Lidar was installed mostly nadir pointing. This dataset contains the cloud top altitude from those measurements (altitudes with a strong signal increase) as well as a cloud mask, derived from the optical depth of the column at 1 second resolution. The majority of the data was collected northwest of the Svalbard archipelago. More details on the campaign can be found in Wendisch 2018 and Ehrlich 2019 and here (https://home.uni-leipzig.de/~ehrlich/ACLOUD_wiki_doku). Please check the data documentation (https://download.pangaea.de/reference/108729/attachments/readme_documentation_AMALi_cloudtop.pdf) before using this dataset.

Longitude of eventAircraftPolar 5Binary ObjectAC3Latitude of eventSvalbardArcticArctic Amplification (AC3)Date/Time of eventAirborne Mobile Aerosol Lidarcloudairborne measurementsLidarEvent labelDate Time of eventairborneACLOUDBinary Object (File Size)mixed phase cloudsAMALiP5_206_ACLOUD_2017airborne lidarArctic Amplification AC3cloud top altitudeEarth System Researchmixed-phase cloudsBinary Object File Size
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Mano ejecutora del fascismo Ayudad a los familiares de sus víctimas.

Dos membres de la Guàrdia Civil, amb fusells, en actitud de menyspreu cap a un cos sagnant als seus peus

Solidaritat Espanya 1936-1939 CartellsFeixisme Espanya 1936-1939 CartellsVíctimes de guerra Espanya 1936-1939 Cartells
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