UAV 3D modeling with multi-spectral imaging: An example of wax apple tree

Ruei Siang Shih, Yi Sheng Li, Yung Jhe Yan, Chun Yu, Wei Tsang Huang, Chein I. Chang, Tzung Cheng Chen, Yi Chun Chen, Chi Cho Huang, W. L. Lee, Shiou Gwo Lin, Mang Ou-Yang

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

    1 Scopus citations

    Abstract

    As the Unmanned aerial vehicle (UAV) become ubiquitous, many early studies utilizing the UAV for three-dimensional (3D) modeling system are successively proposed as well. The advantage of using UAV successfully advances efficiency and reduces the cost time for simplifying the process of collecting data. Moreover, the characteristics of the light sized and suspension of new designed UAV could allow the users to gather the precise data from the rugged terrain and through a crowd of trees and may build a detail 3D and hyperspectral images. By those high-resolution 3D model data, the texture and shape of observation can be seen and brings research into further analysis. However, there are some limits that the information of 3D modeling data in RGB wide bands is not adequate to investigate vegetation research. The hyper spectrum collects the information of tens of bands with the narrow bandwidth could analyze the detail difference between abnormal and normal situations when the plant is growing. Therefore, how to combine hyperspectral data into a 3D modeling system would be important when researches want to attain the location data and spectral image simultaneously. In this study, the UAV will be loaded with two kinds of systems, and try to build the model include 3D modeling information and spectral information. As a result, it can monitor the growth condition of plants, their environment, also the precise location at the same time so that it can make vegetation analysis more complete.

    Original languageEnglish
    Title of host publicationImaging Spectrometry XXIII
    Subtitle of host publicationApplications, Sensors, and Processing
    EditorsEmmett J. Ientilucci
    PublisherSPIE
    ISBN (Electronic)9781510629530
    DOIs
    StatePublished - 1 Jan 2019
    EventImaging Spectrometry XXIII: Applications, Sensors, and Processing 2019 - San Diego, United States
    Duration: 11 Aug 201912 Aug 2019

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume11130
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferenceImaging Spectrometry XXIII: Applications, Sensors, and Processing 2019
    Country/TerritoryUnited States
    CitySan Diego
    Period11/08/1912/08/19

    Keywords

    • 3D modeling
    • Hyperspectral imaging
    • Multi-spectral imaging
    • Unmanned Aerial Vehicle (UAV)

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