Search results for "target detection"

showing 6 items of 6 documents

Control of a PTZ camera in a hybrid vision system

2014

In this paper, we propose a new approach to steer a PTZ camera in the direction of a detected object visible from another fixed camera equipped with a fisheye lens. This heterogeneous association of two cameras having different characteristics is called a hybrid stereo-vision system. The presented method employs epipolar geometry in a smart way in order to reduce the range of search of the desired region of interest. Furthermore, we proposed a target recognition method designed to cope with the illumination problems, the distortion of the omnidirectional image and the inherent dissimilarity of resolution and color responses between both cameras. Experimental results with synthetic and real …

Fisheye cameratarget detection[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]PTZhybrid vision system
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Invariant Feature Matching for Image Registration Application Based on New Dissimilarity of Spatial Features

2016

An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method based on dissimilarity values, which measures the dissimilarity of the features through the path based on Eigenvector properties, is proposed. Evidence shows that existing matching techniques using similarity metrics--such as normalized cross-correlation, squared sum of intensity differences and correlation coefficient--are insufficient for achieving adequate results under different image deformations. Thus, new…

Satellite ImageryComputer scienceComputer Visionlcsh:MedicineTransportation02 engineering and technology01 natural sciencesPattern Recognition Automated0202 electrical engineering electronic engineering information engineeringImage Processing Computer-Assistedlcsh:ScienceMultidisciplinaryApplied MathematicsSimulation and ModelingPhysicsClassical MechanicsDeformationPhysical SciencesEngineering and Technology020201 artificial intelligence & image processingAlgorithmsResearch ArticleNormalization (statistics)Matching (statistics)Computer and Information SciencesSimilarity (geometry)Imaging TechniquesImage registrationResearch and Analysis MethodsImage (mathematics)010309 optics0103 physical sciencesImage Interpretation Computer-AssistedComputer GraphicsComputer ImagingEigenvalues and eigenvectorsDamage Mechanicsbusiness.industrylcsh:RPattern recognitionEigenvaluesBoatsTarget DetectionAlgebraLinear AlgebraSubtraction TechniquePath (graph theory)lcsh:QAffine transformationArtificial intelligencebusinessEigenvectorsMathematicsHomography (computer vision)PLoS ONE
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Unmixing methods in novel applications of spectral imaging

2014

hyperspectral imagingrikospaikkaimaging spectrometryspektrografilaskennallinen vaativuusympäristön tilaanalysmetoderihosyöpäskin abnormalitiesesitutkintaspectral unmixinghudcancerbrottsplatsenvironmental monitoringspektrografiamiljöövervakningspektral avbildningtarget detectionmiljöns tillståndspektrikuvausanalyysimenetelmätförundersökningforensicskuvantaminenympäristövalvontahyperspektrikuvaus
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HYPERSPECTRAL REFLECTANCE SIGNATURES AND POINT CLOUDS FOR PRECISION AGRICULTURE BY LIGHT WEIGHT UAV IMAGING SYSTEM

2018

Abstract. The objective of this investigation was to study the use of a new type of a low-weight unmanned aerial vehicle (UAV) imaging system in the precision agriculture. The system consists of a novel Fabry-Perot interferometer based hyperspectral camera and a high-resolution small-format consumer camera. The sensors provide stereoscopic imagery in a 2D frame-format and they both weigh less than 500 g. A processing chain was developed for the production of high density point clouds and hyperspectral reflectance image mosaics (reflectance signatures), which are used as inputs in the agricultural application. We demonstrate the use of this new technology in the biomass estimation process, w…

lcsh:Applied optics. Photonics010504 meteorology & atmospheric sciencesRemote sensing applicationComputer scienceUAV0211 other engineering and technologiesPoint cloudmedical imagingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONStereoscopyImage processing02 engineering and technologylcsh:Technology01 natural scienceslaw.inventionimaging spectrometerremote sensinglawFabry-Perot interferometerComputer vision021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingprecision agriculturelcsh:Tbusiness.industrytarget detectionlcsh:TA1501-1820Hyperspectral imagingairbornehyperspectral sensorsPhotogrammetrypiezo actuatorslcsh:TA1-2040RadiometryPrecision agricultureArtificial intelligencemultispectral image sensorslcsh:Engineering (General). Civil engineering (General)business
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UAV-based hyperspectral monitoring of small freshwater area

2014

Recent development in compact, lightweight hyperspectral imagers have enabled UAV-based remote sensing with reasonable costs. We used small hyperspectral imager based on Fabry-Perot interferometer for monitoring small freshwater area in southern Finland. In this study we shortly describe the utilized technology and the field studies performed. We explain processing pipeline for gathered spectral data and introduce target detection-based algorithm for estimating levels of algae, aquatic chlorophyll and turbidity in freshwater. Certain challenges we faced are pointed out.

ta113hyperspectral imaginguavtarget detectionta1171Hyperspectral imagingPipeline (software)InterferometryGeographyRemote sensing (archaeology)Fabry-Perot interferometerSpectral datafreshwaterta218Remote sensing
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Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS

2012

In this paper we consider methods for estimating forest tree stem volumes by species using images taken from light unmanned aircraft systems (UAS). Instead of using LiDAR and additional multiband imagery a color infrared camera mounted to a light UAS is used to acquire both imagery and the DSM of target area. The goal of this study is to accurately estimate tree stem volumes in three classes. The status of the ongoing work is described and an initial method for delineating and classifying treetops is presented.

ta113precision agriculturebusiness.industryComputer scienceUAVtarget detectionPiezo actuatorsmedical imagingairborneFabry-Perot Interferometerimaging spectrometerTree (data structure)Hyperspectral sensorsLidarRemote sensing (archaeology)Computer visionArtificial intelligencemultispectral image sensorsDigital surfacebusinessTree speciesRemote sensingProceedings of SPIE
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