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UAV 3D modeling with multi-spectral imaging: an example of wax apple tree
Author(s): 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
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Paper 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.

Paper Details

Date Published: 6 September 2019
PDF: 9 pages
Proc. SPIE 11130, Imaging Spectrometry XXIII: Applications, Sensors, and Processing, 1113008 (6 September 2019); doi: 10.1117/12.2528641
Show Author Affiliations
Ruei Siang Shih, National Chiao Tung Univ. (Taiwan)
Yi-Sheng Li, National Chiao Tung Univ. (Taiwan)
Yung-Jhe Yan, National Chiao Tung Univ. (Taiwan)
Chun Yu, National Chiao Tung Univ. (Taiwan)
Wei-Tsang Huang, National Chiao Tung Univ. (Taiwan)
Chein-I Chang, National Chiao Tung Univ. (Taiwan)
Tzung-Cheng Chen, Chang Jung Christian Univ. (Taiwan)
Yi-Chun Chen, National Chiao Tung Univ. (Taiwan)
Chi Cho Huang, Taiwan Agricultural Research Institute (Taiwan)
W. L. Lee, Taiwan Agricultural Research Institute (Taiwan)
Shiou-Gwo Lin, National Taiwan Ocean Univ. (Taiwan)
Mang Ou-Yang, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 11130:
Imaging Spectrometry XXIII: Applications, Sensors, and Processing
Emmett J. Ientilucci, Editor(s)

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