Скачать презентацию Titelmaster The benefit of plant models for laser Скачать презентацию Titelmaster The benefit of plant models for laser

9802d5bedeee6f3d5bdc4d66c93b628c.ppt

  • Количество слайдов: 20

Titelmaster The benefit of plant models for laser generated data - advantages of a Titelmaster 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 Dipl. Dr. Heiner Kuhlmann Prof. Inform. Stefan Paulus

overview • state of the art • motivation • problems and difficulties • benefit overview • state of the art • motivation • problems and difficulties • benefit of models • perspective Dipl. Inform. Stefan Paulus 2

state of the art Laserscanning of plants • with airborne laserscanners • inertial system 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 3 Omasa 2007 Dipl. Inform. Stefan Paulus

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

state of the art High resolution laser scanning of plants 5 Perceptron 2008 Dipl. state of the art High resolution laser scanning of plants 5 Perceptron 2008 Dipl. Inform. Stefan Paulus

motivation today: • Derivation of morphological characteristics • Sensor fusion with RGB/IR/hyperspectral camera data 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 quantify plant response to changes in environment time Dipl. Inform. Stefan Paulus 6

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

problems and difficulties 1. Plant motion due to growth and vibrations 8 2. Change problems and difficulties 1. Plant motion due to growth and vibrations 8 2. Change of plant structure und arrangement Dipl. Inform. Stefan Paulus

problems and difficulties 3. Occlusion due to sensor range and structure Perceptron 2008 9 problems and difficulties 3. Occlusion due to sensor range and structure Perceptron 2008 9 4. Penetration of the laser beam and the plant surface Rascher 2010 Dipl. Inform. Stefan Paulus

benefit of models In short: • penetration • occlusion • change in structure • benefit of models In short: • penetration • occlusion • change in structure • plant motion improve the technique ? ? ? ? ? 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 Dipl. Inform. Stefan Paulus 10

benefit of models 11 . laserscans Dipl. Inform. Stefan Paulus model benefit of models 11 . laserscans Dipl. Inform. Stefan Paulus model

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

benefit of models • local data can be aligned to the whole structure • 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 13 Dipl. Inform. Stefan Paulus

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

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

with an application Laserscans Parameter Pre-Model Reliability Model Dipl. Inform. Stefan Paulus Improved Parameters with an application Laserscans Parameter Pre-Model Reliability Model Dipl. Inform. Stefan Paulus Improved Parameters Improved Laserdata 16

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

perspective • better classification results for automated classification 18 leaf / stem classification by perspective • better classification results for automated classification 18 leaf / stem classification by using SVM Dipl. Inform. Stefan Paulus

questions? 19 Thanks for your attention. Feel free to ask! Dipl. Inform. Stefan Paulus questions? 19 Thanks for your attention. Feel free to ask! Dipl. Inform. Stefan Paulus

Abstract Laserscanning im Pflanzenbereich bietet höchste Auflösungen bei gleichzeitiger nicht invasiver Messung. Aus den 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 3 D 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 3 D 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. Dipl. Inform. Stefan Paulus 20