Paper
13 November 2014 A registration method based on profile matching for vegetation canopy measurement
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Abstract
Measuring the 3D structure of vegetation canopy is of great significance for the validation of remote sensing data and vegetation radiation transfer modeling. When using laser triangulation, because of the limitat ion of the field of view of measuring system, multi-view measurement followed by a registration of the measured point cloud is needed. Most of the existing registration methods cannot be directly applied to our registration task. This paper presents a registration method based on leaf profile matching. Firstly, segment the point cloud into subsets that are correspond to the single leaves. Then the profile of every single leaf is extracted and fitted with splines. Finally, by calculating and matching the parameters of the splines' parameters, the profile of the same leaf in different views are registered, thus the registration of multi-view point cloud is achieved. The experiments on measurement data are presented to show the feasibility of the proposed method.
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Xudong Li, Yang Liu, Yunjiang Liao, Hongzhi Jiang, and Huijie Zhao "A registration method based on profile matching for vegetation canopy measurement", Proc. SPIE 9276, Optical Metrology and Inspection for Industrial Applications III, 92761A (13 November 2014); https://doi.org/10.1117/12.2073649
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KEYWORDS
Clouds

Vegetation

Ions

Feature extraction

Image registration

3D metrology

3D modeling

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