Three-dimensional reconstruction model rendered with hyperspectral images: biomarker monitoring as an example

Ming-Han Ho; Yung-Jhe Yan; Yu-Cheng Cheng; Cong Yuan Chou; Mang Ou-Yang

doi:10.1117/12.3033881

20 November 2024 Three-dimensional reconstruction model rendered with hyperspectral images: biomarker monitoring as an example

Ming-Han Ho, Yung-Jhe Yan, Yu-Cheng Cheng, Cong Yuan Chou, Mang Ou-Yang

Author Affiliations +

Proceedings Volume 13191, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI; 131910N (2024) https://doi.org/10.1117/12.3033881
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Abstract

Hyperspectral imaging is beneficial for non-destructive agricultural inspections, and three-dimensional reconstruction modeling is a powerful tool for inspecting the phenotype of plants. This study proposes an approach to combine threedimensional reconstruction modeling and hyperspectral images into four-dimensional data. This data not only contains the three-dimensional structural information of an interesting object but also includes the spectral information of every point on the surface of this object. Firstly, the hyperspectral and visible images of an interesting object are acquired from hyperspectral and visible cameras. Secondly, high-resolution visible images are used to reconstruct a three-dimensional surface model of an interesting object. Thirdly, matching hyperspectral images with visible images establishes the correspondence between hyperspectral images and the three-dimensional model. Furthermore, the biomarker index can be derived from hyperspectral data. The biomarker index can be transformed into surface textures and combined with the three-dimensional model to form a three-dimensional biomarker model.

Citation Download Citation

Ming-Han Ho, Yung-Jhe Yan, Yu-Cheng Cheng, Cong Yuan Chou, and Mang Ou-Yang "Three-dimensional reconstruction model rendered with hyperspectral images: biomarker monitoring as an example", Proc. SPIE 13191, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI, 131910N (20 November 2024); https://doi.org/10.1117/12.3033881

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KEYWORDS

3D modeling

Hyperspectral imaging

3D image processing

Cameras

Data modeling

RGB color model

Agriculture

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