標題: UAV 3D modeling with multi-spectral imaging: An example of wax apple tree
作者: Shih, Ruei-Siang
Li, Yi-Sheng
Yan, Yung-Jhe
Yu, Chun
Huang, Wei-Tsang
Chang, Chien-I
Chen, Tzung-Cheng
Chen, Yi-Chun
Huang, Chi Cho
Lee, W. L.
Lin, Shiou-Gwo
Ou-Yang, Mang
分子醫學與生物工程研究所
影像與生醫光電研究所
電機工程學系
電控工程研究所
Institute of Molecular Medicine and Bioengineering
Institute of Imaging and Biomedical Photonics
Department of Electrical and Computer Engineering
Institute of Electrical and Control Engineering
關鍵字: Unmanned Aerial Vehicle (UAV);Multi-spectral imaging;Hyperspectral imaging;3D modeling
公開日期: 1-一月-2019
摘要: 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.
URI: http://dx.doi.org/10.1117/12.2528641
http://hdl.handle.net/11536/153834
ISBN: 978-1-5106-2953-0; 978-1-5106-2954-7
ISSN: 0277-786X
DOI: 10.1117/12.2528641
期刊: IMAGING SPECTROMETRY XXIII: APPLICATIONS, SENSORS, AND PROCESSING
Volume: 11130
起始頁: 0
結束頁: 0
顯示於類別:會議論文