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Analysis of Surface Circulation in Yin-Yang Bay Using Digital Camera Imagery

陰陽海表面流場分析-影像特徵追蹤之應用

摘要


本研究旨在驗證應用數位相機拍攝之影像配合影像特徵追蹤法,推估台灣東北角海域陰陽海之表面流速之可行性。拍攝之影像必須經幾何轉換、影像平滑、邊緣偵測等影像前處理,方能進行後續之特徵位移判定。本文採用主觀目測與客觀最大交相關法(Maximum Cross Correlation)個別針對經由前述處理後之影像進行影像特徵位移之判定,以計算出兩不同方法推估之海面特徵之移動速度。經比較發現,由兩方法所推估之流速與前人實測的流速極為接近,因此證實利用數位相機針對特定區域進行長期流場觀測的可行性。此外,配合客觀最大交相關法的運用,整個流程將可全數自動化進行,可節省進行表面流場觀測時所需之人力與物力的花費。

並列摘要


The purpose of this study is to verify the feasibility of using feature tracking method on the images taken by a digital camera near coastal areas. This technology is applied to the surface circulation in the Yin-Yang Bay, a small bay at northeastern Taiwan, with an obvious front of cloudy yellow fresh water and clear brine. The primary images taken in Yin-Yang Bay have to do geometric transformation, image smoothing, and edge detection before working on feature tracking. Two feature tracking methods are applied to these processed images for estimating surface current velocity. One is a subjective method of estimating distance among the sequence images by naked eyes and the other is an objective method of using Maximum Cross Correlation (MCC). The results show that the velocities of surface currents in the Yin-Yang Bay derived from both methods are similar and are comparable to the results of in-situ measurements. This indicates that the technology developed in this study is suitable for coastal circulation research.

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