3D Plant Modelling using Spectral Data from Visible to near Infrared Range

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Zia, Ali
Liang, Jie
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J. Zhou, X. Bai and T. Caelli

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2016
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Abstract

Plant phenomics research requires different types of sensors employed to measure the physical traits of plant surface and to estimate the biomass. Of particular interests is the hyperspectral imaging device which captures wavelength indexed band images that characterize material properties of objects under study. This chapter introduces a proof of concept research that builds 3D plant model directly from hyperspectral images captured in a controlled lab environment. The method presented in this chapter allows fine structural-spectral information of an object be captured and integrated into the 3D model, which can be used to support further research and applications. The hyperspectral imaging has shown clear advantages in segmenting plant from its background and is very promising in generating comprehensive 3D plant models.

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Computer Vision and Pattern Recognition in Environmental Informatics

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Computer vision

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