0000000001070776

AUTHOR

Juha Hyyppä

0000-0001-5360-4017

showing 1 related works from this author

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

2017

Made available in DSpace on 2018-12-11T17:11:58Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-03-01 Suomen Akatemia Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. Three-dimensional (3D) hyperspectral remote sensing is a novel and powerful technology that has recently become available to small UAVs. This study investigated the performance of UAV-based photogrammetry and hyperspectral imaging in individual tree detection and tree species classification in boreal forests. Eleven test sites with 4151 reference trees repr…

010504 meteorology & atmospheric sciencesComputer scienceUAV0211 other engineering and technologiesPoint cloudta117102 engineering and technologyradiometryphotogrammetry01 natural sciencesforestComputer visionForestRadiometrylcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingfotogrammetriata113UAV; hyperspectral; photogrammetry; radiometry; point cloud; forest; classificationluokitus (toiminta)ta114business.industryHyperspectral imaging15. Life on landOtaNanoClassificationRandom forestPoint cloudTree (data structure)PhotogrammetryhyperspectralHyperspectralclassification13. Climate actionMultilayer perceptronPhotogrammetryGeneral Earth and Planetary SciencesRadiometryRGB color modellcsh:QArtificial intelligencebusinesspoint cloudRemote Sensing; Volume 9; Issue 3; Pages: 185
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