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*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 three-dimensional 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.

Original languageEnglish
Title of host publicationRemote Sensing for Agriculture, Ecosystems, and Hydrology XXVI
EditorsChristopher M. U. Neale, Antonino Maltese, Charles R. Bostater, Caroline Nichol
PublisherSPIE
ISBN (Electronic)9781510680906
DOIs
StatePublished - 2024
EventRemote Sensing for Agriculture, Ecosystems, and Hydrology XXVI Conference 2024 - Edinburgh, United Kingdom
Duration: 16 Sep 202419 Sep 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13191
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRemote Sensing for Agriculture, Ecosystems, and Hydrology XXVI Conference 2024
Country/TerritoryUnited Kingdom
CityEdinburgh
Period16/09/2419/09/24

Keywords

  • 3D rendering
  • biomarker
  • hyperspectral image
  • three-dimensional reconstruction model

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