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 |