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Prof. Dr. Heiner KuhlmannDipl. Inform. Stefan Paulus
The benefit of plant models for laser generated data
- advantages of a symbiosis -
Dipl. Inf. Stefan PaulusInstitute of Geodesy und Geoinformation
Professorship of GeodesyUniversity of Bonn
Dipl. Inform. Stefan Paulus
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overview
•state of the art
•motivation
•problems and difficulties
•benefit of models
•perspective
Dipl. Inform. Stefan Paulus
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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
Dipl. Inform. Stefan Paulus
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state of the art
Omasa 2007
Omasa 2007
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
Hosoi 2011
Omasa 2007
Omasa 2007
Dipl. Inform. Stefan Paulus
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state of the art
High resolution laser scanning of plants
Perceptron 2008
Dipl. Inform. Stefan Paulus
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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
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Dipl. Inform. Stefan Paulus
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motivation
Llorens 2011
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Interaction is needed here!
In future:• usage directly in the field• target-actual comparison • prediction of parameters due to environment• adjustement of application and geometry
time
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problems and difficulties
1. Plant motion due to growth and vibrations
2. Change of plant structure und arrangement
Dipl. Inform. Stefan Paulus
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problems and difficulties
3. Occlusion due to sensor range and structure
4. Penetration of the laser beam and the plant surface
Rascher 2010
Perceptron 2008
Dipl. Inform. Stefan Paulus
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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
Dipl. Inform. Stefan Paulus
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benefit of models
laserscans
model
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Dipl. Inform. Stefan Paulus
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benefit of models
laserscans
model
high resolution plant puzzle aligned by underlying grammar system
•resolution•accuracy•geometry deformation•geometry parameters
•prediction•structure &•connection•interaction•growth &•development
Dipl. Inform. Stefan Paulus
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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
Dipl. Inform. Stefan Paulus
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The idea in short
Laserscans Parameter Model
Problems
Errors
• Laser penetration• Occlussions• Accuracy• Resolution
• Errors• Uncertainty• no data
Dipl. Inform. Stefan Paulus
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The idea in short
Laserscans Parameter Pre-Model
Problems
Errors
Model Improved Parameters
Improved Laserdata
Reliab
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Testi
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advance advance
• prediction• sensor crossing• less errors
• plant coordinate system• less occlussion• better data connection
Dipl. Inform. Stefan Paulus
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with an application
Laserscans Parameter Pre-Model
Model Improved Parameters
Improved Laserdata
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Reliability
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perspective
• better results for known techniques• laserscanning under difficult circumstances• parameter extraction under bad point cloud conditions
Dipl. Inform. Stefan Paulus
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perspective
• better classification results for automated classification
leaf / stem classification by using SVM
Dipl. Inform. Stefan Paulus
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questions?
Thanks for your attention.Feel free to ask!
Dipl. Inform. Stefan Paulus
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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.