DocumentCode :
603656
Title :
Multi-scale reconstruction of crop canopy
Author :
Shenglian Lu ; Xinyu Guo ; Chunjiang Zhao ; Tingting Qian ; Weiliang Wen ; Jianjun Du
Author_Institution :
Beijing Res. Center for Inf. Technol. in Agric., Beijing, China
fYear :
2012
fDate :
Oct. 31 2012-Nov. 3 2012
Firstpage :
262
Lastpage :
269
Abstract :
We present methods for three-dimensional (3D) reconstruction of a crop canopy from multi-scale measured data and a method for verifying the accuracy of these reconstructed canopies. The validation method aims to give a quantitative evaluation to these reconstruction methods and reconstructed canopies, because different reconstruction methods use different data and also involve different time and labor costs for measuring data from real crops. Our reconstruction methods include reconstruction from digitized feature points of the crops, reconstruction by combining digitized feature points and scanned leaf mesh, and reconstruction from statistical models of morphological structure about the crops. Projected area (from different viewpoints) of the reconstructed crops 3D canopy was used as the key factor for verifying the accuracy of the reconstructed models. We concluded that reconstruction from digitizing characteristic points and scanned leaf mesh will obtain favorable result with low time and labor costs for measuring data.
Keywords :
crops; image reconstruction; crop canopy; digitized feature points; multi-scale reconstruction; scanned leaf mesh; three-dimensional reconstruction; 3D digitizing; 3D reconstruction; crop; shape modeling of plant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2012 IEEE Fourth International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0067-4
Type :
conf
DOI :
10.1109/PMA.2012.6524844
Filename :
6524844
Link To Document :
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