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A method addressing signal occlusion by scene objects to quantify the 3D distribution of forest components from terrestrial lidar
A method addressing signal occlusion by scene objects to quantify the 3D distribution of forest components from terrestrial lidar
Estimating exact 3D distribution of canopy components using terrestrial lidar in forest is limited by signal occlusion. We propose a method to address this limitation: it uses voxels, beam returns and beam propagation through the scene. The proposed method was validated using simulated forest scenes and a lidar simulator.
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION GeneralLiterature_MISCELLANEOUS ComputingMethodologies_COMPUTERGRAPHICS
arXiv: Computer Science::Graphics Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Physics::Atmospheric and Oceanic Physics
FORET, VALUATION, CANOPEE, POINT CLOUD PROCESSING, SIGNAL OCCLUSIONS, REMOTE SENSING, LIDAR, 3D SPATIAL DISTRIBUTION, FORESTS, TERRESTRIAL LASER SCANNER, TELEDETECTION, VALEUR D'ESTIMATION, METHODOLOGIE, FOREST COMPONENTS
FORET, VALUATION, CANOPEE, POINT CLOUD PROCESSING, SIGNAL OCCLUSIONS, REMOTE SENSING, LIDAR, 3D SPATIAL DISTRIBUTION, FORESTS, TERRESTRIAL LASER SCANNER, TELEDETECTION, VALEUR D'ESTIMATION, METHODOLOGIE, FOREST COMPONENTS
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION GeneralLiterature_MISCELLANEOUS ComputingMethodologies_COMPUTERGRAPHICS
arXiv: Computer Science::Graphics Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Physics::Atmospheric and Oceanic Physics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!Estimating exact 3D distribution of canopy components using terrestrial lidar in forest is limited by signal occlusion. We propose a method to address this limitation: it uses voxels, beam returns and beam propagation through the scene. The proposed method was validated using simulated forest scenes and a lidar simulator.