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overview

The benefit of plant models for laser generated data - advantages of a symbiosis - Dipl. Inf. Stefan Paulus Institute of Geodesy und Geoinformation Professorship of Geodesy University of Bonn. overview. state of the art motivation problems and difficulties benefit of models perspective.

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overview

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  1. The benefit of plant models for laser generated data- advantages of a symbiosis -Dipl. Inf. Stefan PaulusInstitute of Geodesy und GeoinformationProfessorship of GeodesyUniversity of Bonn

  2. overview • state of the art • motivation • problems and difficulties • benefit of models • perspective

  3. state of the art Laserscanning of plants • with airborne laserscanners • inertial system + GPS • with ground based laserscanner • time of flight • phase shift • in the laboratory • triangulation • structed light • with different geometric approaches Omasa 2007

  4. state of the art Extraction of various parameters: • canopy height / mean tree height • distribution of leaf area in space • gap propability • breast hight, diameter • carbon stocks from biomass estimation • shape analysis Omasa 2007 Omasa 2007 Omasa 2007 Omasa 2007 Hosoi 2011

  5. state of the art High resolution laser scanning of plants Perceptron 2008

  6. motivation today: • Derivation of morphological characteristics • Sensor fusion with RGB/IR/hyperspectral camera data • Reference system for calibration of other sensors • Observation of smallest changes to quantifyplant response to changes in environment time time

  7. motivation In future: • usage directly in the field • target-actual comparison • prediction of parameters due to environment • adjustement of application and geometry Interaction is needed here! Volume [dm³] time Llorens 2011

  8. problems and difficulties • Plant motion due to growth and vibrations • Change of plant structure und arrangement

  9. problems and difficulties 3. Occlusion due to sensor range and structure • Penetration of the laser beam and the plant surface Perceptron 2008 Rascher 2010

  10. benefit of models In short: • penetration  improve the technique • occlusion  ??? • change in structure  ??? • plant motion  ??? Benefit of physical (or FSPM) models • coordinate system for the plant • knowledge of structure • independant from sensor • connection between parts is known, this enables tracking phyto-reference-system

  11. benefit of models . laserscans model

  12. benefit of models • resolution • accuracy • geometry deformation • geometry parameters • prediction • structure & • connection • interaction • growth & • development model laserscans high resolution plant puzzle aligned by underlying grammar system

  13. benefit of models • local data can be aligned to the whole structure • by this, motion can be eliminated resp. is less disturbing • different sensors like RGB or hyperspectral camera can be fused in a more accurate way

  14. The idea in short Laserscans Parameter Model Problems Errors • Laser penetration • Occlussions • Accuracy • Resolution • Errors • Uncertainty • no data

  15. The idea in short Problems Errors Laserscans Parameter Pre-Model Improved Parameters Improved Laserdata Model advance advance • plant coordinate system • less occlussion • better data connection • prediction • sensor crossing • less errors Reliability Testing

  16. with an application Laserscans Parameter Pre-Model Reliability Improved Parameters Improved Laserdata Model

  17. perspective • better results for known techniques • laserscanning under difficult circumstances • parameter extraction under bad point cloud conditions

  18. perspective • better classification results for automated classification leaf / stem classification by using SVM

  19. questions? Thanks for your attention. Feel free to ask!

  20. Abstract Laserscanning im Pflanzenbereich bietet höchste Auflösungen bei gleichzeitiger nicht invasiver Messung. Aus den resultierenden Punktwolken lassen sich Parameter ableiten, aus denen der Zustand der Pflanze bzgl. bspw. Trockenstress hervorgeht. Probleme ergeben sich aus der Eigenbewegung der Pflanze, der Dimension der Deformation (Wachstum und äußere Einflüsse), sowie einer unzureichenden 3D Zuordnung, die Fusion verschiedener Sensoren und Teilscans sowie Vergleich zu unterschiedlichen Zeitpunkten erschweren. Pflanzenmodelle bieten hier Lösungen durch Pflanzen-bezogene Koordinatensysteme, die zeitlich und räumliche Zuordnungen ermöglichen. Laserscanning of plants provides highly accurate spatial resolution information together with non-invasive measurements. The resulting point cloud can be used to extract parameters describing plant state changes in response to i.e. drought stress. Problems resulting from plant motion, dimension of deformation caused by growth and outer influences as well as from insufficient 3D correspondence of scan parts among each other, complicates fusion of different sensors and scan parts and also the comparison of data of different dates. Plant models are solutions to these problems by providing plant-applied coordinate systems that enable spatio-temporal registration.

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