博士 / 國立成功大學 / 系統及船舶機電工程學系碩博士班 / 98 / Adequate measurements of the near-shore hydrodynamics and morphodynamics have been important research issues in the coastal engineering, they are also vital for various coastal management problems. Over the past 25 years, optical remote sensing has been developed into a very useful tool for sampling the near-shore environment, principally through the use of Argus Stations developed by the Coastal Image Lab of Oregon State University. The Argus is a low-cost and long-term measurement system which provides snapshots, average images, variance images and time series images from pixel instruments. In this study we establish three near-shore observation systems to acquire and analyze the near-shore image data of Hsi-tzu-wan bay. The first observation system employs a fixed orientation camera to acquire images of a small-scale coastal area, a generalized gradient vector flow active contour model is then used to track the shoaling process of near-shore waves. The second observation system employs a pan/tilt/zoom camera, instead of the multi-camera Argus system, to record images of a large-scale coastal area along the Hsi-tzu-wan bay. All images from this pan/tilt/zoom camera are then integrated for panoramic photography and mosaic process of coast view. The database of average coastal images obtained is used to analyze inter-tidal bathymetry and foreshore topography in short-term and long-term variations, such as the topographic change of Hsi-tzu-wan beach after the construction of two headlands with beach nourishment. The third observation system employs a high-resolution fixed orientation camera to acquire images of a small-scale coastal area, and pixel time series analysis is used to analyze the near-shore hydrodynamics. The erroneous Direct Linear Transformation algorithm of Argus system are also corrected in this study.
Identifer | oai:union.ndltd.org:TW/098NCKU5345001 |
Date | January 2009 |
Creators | Yu-hung Hsiao, 蕭毓宏 |
Contributors | Min-chih Huang, 黃明志 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | zh-TW |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 154 |
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