Browsing by Author "Lin, Shiou-Gwo"

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Development and verification of the coaxial heterogeneous hyperspectral system for the Wax Apple tree
(2019-01-01)
Li, Yi-Sheng
;
Yan, Yung-Jhe
;
Shih, Ruei-Siang
;
Chang, Chao-Hsin
;
Chen, Tzung-Cheng
This paper presents the design of the coaxial heterogeneous hyperspectral system, concurrently sensing for the visible (YES) light and short-wave infrared (SWIR) light wavelengths under the same space axis. By the designed mechanism, this hyperspectral system can provide more hands and broader wavelengths in every scan. The adequate spectral information of the target makes the analysis more comprehensive. For this hyperspectral system, the spatial correction and spectral correction are required. The spatial correction deals with the spatial match between the VIS and SWIR data. Moreover, the spectral correction is to eliminate the different response of the YES and SWIR sensor. The purpose of these corrections was to verify the design and provide the accurate reflection spectrum.
UAV 3D modeling with multi-spectral imaging: An example of wax apple tree
(2019-01-01)
Shih, Ruei-Siang
;
Li, Yi-Sheng
;
Yan, Yung-Jhe
;
Yu, Chun
;
Huang, Wei-Tsang
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.
Using Ensemble Empirical Mode Decomposition to Improve the Static Fringe Analysis in Optical Testing
(2012)
Chen, Yu-Ta
;
Mang Ou-Yang
;
Wu, Shuen-De
;
Lin, Shiou-Gwo
;
Kuo, Yi-Ting
Static fringe analysis is an important skill to reconstruct the surface profile of the tested optics. The mixed image is simulated by the tilt aberration, and several methods of the reducing mixing fringe are utilized to reconstruct the optical paths difference (OPD) profile of the mixed image. In this paper, we propose the ensemble empirical mode decomposition (EEMD) method to decompose the mixed image into several intrinsic mode functions (IMFs), and then removing one or more IMFs to reduce the influence of the mixing fringe in the mixed image. The procedure of reducing mixing fringe can reconstruct the OPD profile of the mixed image easily. In the simulation, using EEMD to reduce the influence of the mixing fringe, the root mean square (RMS) value of the OPD is 0.081 waves as the residue image subtracted from the OPD profiles of original image. In the experiment, the EEMD method reducing the noise of the mixing fringe has the advantage on the high frequency as spherical aberration.