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RISS 인기검색어
- 검색키워드
- 저자 : 동슈아 ( Xu-hua Dong ) (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Drone-based 3D Mapping and Measurement of Apple Tree Morphology for Phenotyping in Orchard
동슈아 ( Xu-hua Dong ),이경환 ( Kyeong-hwan Lee ) 한국농업기계학회 2020 한국농업기계학회 학술발표논문집 Vol.25 No.2
Measuring tree morphology for phenotyping is an essential but labor-intensive activity in horticulture. Researchers often rely on manual measurements which may not be accurate for example when measuring canopy volume and tree height. Therefore, the objective of this study was to adopt drone-based photogrammetry and 3D reconstruction technology to make accurate 3D point cloud of fruit trees in orchard and estimate the tree morphology based on 3D point cloud. This study proposed 3D point cloud layering method and concave hull algorithm to calculate the sub-volume of each layer. The canopy volume is calculated by accumulation of all sub-volumes. Three Sony cameras and DJI drone were used to constitute the oblique photography system. And the Ground Control Points (GCPs) were evenly distributed in orchard to assist the Aerial Triangulation (AT). The experiment results indicated the reconstructed resolution and reprojection error of fruit tree are 2.87 mm/pixel and 0.72 pixels, respectively. And the RMSE of tree height of 3D model is 0.093 m and the accuracy of canopy volume estimation is 91.53%. With this new approach, a highly accurate measurement can be achieved. In the future we will count the number of fruit based on the 3D model.
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3D Reconstruction of Trees in Apple Orchard using a Multi Camera-based UAV System
동슈아 ( Xu-hua Dong ),장제연 ( Je-yeon Jang ),이경환 ( Kyeong-hwan Lee ) 한국농업기계학회 2020 한국농업기계학회 학술발표논문집 Vol.25 No.1
3D reconstruction of trees in orchards plays an important role in the studies on the biological characteristics of fruit trees. Compared with that using vertical photogrammetry, the multi-camera oblique photography can generate higher quality of 3D models, but there is no optimized method for the multiple cameras system. Therefore, the objective of this study was to establish mathematics models that can optimize the configuration parameters such as flight height, oblique angle of cameras and then reconstruct the 3D model of apple tress using UAV-based oblique photogrammetry. This study proposed three types of ground sample distance to establish the models and used maximum curvature algorithm to solve the optimal parameters. Five Survey3 cameras were used to constitute the oblique photography system. The models was validated in simulation platform and real orchard condition. The experiment results indicated the optimization of the parameters was achieved at a flight height of 8m and a oblique angle of 55 degree. With this new approach, a better accuracy of 3D model can be achieved in real orchard condition. In the future we will count the number of fruit based on the 3D model generated by this approach.
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