Surface Velocity Detection of Debris Flow by PIV and STDSM Methods

碩士 === 國立成功大學 === 水利及海洋工程學系碩博士班 === 94 ===   The surface velocity is one of the important physical parameters to study the debris flows. Owing to assure the safety of the life and wealth the monitored Video technology developed quick and more inexpensive. There are many regions have set up Video sys...

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Main Authors: Kuo-Hui Lin, 林國暉
Other Authors: Chan-Ji Lai
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/18893736375594616086
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spelling ndltd-TW-094NCKU50830142016-05-30T04:21:57Z http://ndltd.ncl.edu.tw/handle/18893736375594616086 Surface Velocity Detection of Debris Flow by PIV and STDSM Methods 土石流表面速度影像估算方法之研究 Kuo-Hui Lin 林國暉 碩士 國立成功大學 水利及海洋工程學系碩博士班 94   The surface velocity is one of the important physical parameters to study the debris flows. Owing to assure the safety of the life and wealth the monitored Video technology developed quick and more inexpensive. There are many regions have set up Video systems in river basin for monitoring the flood and debris flow. In this paper, it has been estimated by using image recognizing methods. We improve the image analysis methods, particle image velocimetry (PIV), and compare it with Spatio Temporal Derivative Space Method (STDSM). The hybrid method is tested to the experiments of the rocks floating and the simulate images. According to results, the nature debris flow images from the monitor of Soil and Water Conservation Bureau are analyzed to obtain the surface velocity by the image process. The objective is that establish the monitored Video systems using image technique to remote sensing the information of the debris flow. Chan-Ji Lai Jan-Mou Liu 賴泉基 呂珍謀 2006 學位論文 ; thesis 69 zh-TW
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language zh-TW
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description 碩士 === 國立成功大學 === 水利及海洋工程學系碩博士班 === 94 ===   The surface velocity is one of the important physical parameters to study the debris flows. Owing to assure the safety of the life and wealth the monitored Video technology developed quick and more inexpensive. There are many regions have set up Video systems in river basin for monitoring the flood and debris flow. In this paper, it has been estimated by using image recognizing methods. We improve the image analysis methods, particle image velocimetry (PIV), and compare it with Spatio Temporal Derivative Space Method (STDSM). The hybrid method is tested to the experiments of the rocks floating and the simulate images. According to results, the nature debris flow images from the monitor of Soil and Water Conservation Bureau are analyzed to obtain the surface velocity by the image process. The objective is that establish the monitored Video systems using image technique to remote sensing the information of the debris flow.
author2 Chan-Ji Lai
author_facet Chan-Ji Lai
Kuo-Hui Lin
林國暉
author Kuo-Hui Lin
林國暉
spellingShingle Kuo-Hui Lin
林國暉
Surface Velocity Detection of Debris Flow by PIV and STDSM Methods
author_sort Kuo-Hui Lin
title Surface Velocity Detection of Debris Flow by PIV and STDSM Methods
title_short Surface Velocity Detection of Debris Flow by PIV and STDSM Methods
title_full Surface Velocity Detection of Debris Flow by PIV and STDSM Methods
title_fullStr Surface Velocity Detection of Debris Flow by PIV and STDSM Methods
title_full_unstemmed Surface Velocity Detection of Debris Flow by PIV and STDSM Methods
title_sort surface velocity detection of debris flow by piv and stdsm methods
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/18893736375594616086
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