Multi-scale reconstruction of crop canopy

Shenglian Lu, Xinyu Guo, Chunjiang Zhao, Tingting Qian, Weiliang Wen, Jianjun Du
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引用次数: 3

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.
作物冠层的多尺度重建
我们提出了一种基于多尺度测量数据的作物冠层三维重建方法,以及一种验证这些重建冠层精度的方法。验证方法的目的是对这些重建方法和重建的冠层进行定量评价,因为不同的重建方法使用的数据不同,测量真实作物数据的时间和人工成本也不同。我们的重建方法包括数字化作物特征点重建、数字化特征点与扫描叶网相结合的重建以及基于作物形态结构统计模型的重建。以重建作物三维冠层的投影面积(不同视点)作为验证模型精度的关键因素。通过对特征点和扫描叶网进行数字化重建,可以获得较好的重建效果,同时降低测量数据的时间和人工成本。
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