海域變遷關聯著潮汐漲退的侵蝕，在未來海域的保護及防護下應考慮海域的複雜性及脆弱性，要提高海域利用價值與經濟效益，減少環境災害及人民生命財產威脅，首當掌握海域潮汐及沙灘之相關訊息。本研究將利用無人機飛行拍攝視頻擷取表面海流影像。計算無人機在的高度對於表面海流的判斷是否會因為海面高度而有所誤差。
無人機的測量將基於波浪的色散關係屬性，計算過程中涉及物理現象。透過頻散關係式分析影像進行濾波。拍攝過程中空拍機必須配備穩定的鏡頭裝置，以防止影像在錄製過程中雲台的晃動及不穩定，攝影鏡頭必須與水面保持垂直，並且無人機在拍攝錄製過程中必須是靜止的；拍攝時表面海流在視頻裡是要清晰可見。否則錄製的影像產生的不穩定及模糊，則會影響計算出的結果。
無人機必須具備將拍攝高度及世界座標位置在錄製過程中一併記錄於影像內，當影像校正時會把影像內的圖像與世界座標做校正時一併計算進去。影像校正時會先將影像的圖像與真實世界座標作比對。將校正後的影像分割成若干個正方形區域，並設置擬合參數，擬合最可信的海流反應而產生的物理系統信號，在每個平方區域應用海水波流的色散關係（Dispersion Relation）。再透過訊號雜訊比過濾獲得正確的訊號，並於相機參考的網格和無人機紀錄的世界座標中繪製海流的物理訊號。

Changes in the sea area are related to the erosion of tidal ebb and flow. In the protection and protection of the sea area in the future, the complexity and vulnerability of the sea area should be considered. In order to improve the utilization value and economic benefits of the sea area, and reduce environmental disasters and threats to people's lives and properties, the first thing to do is to master the sea area. Information on tides and beaches. This study will use drone flight video to capture surface ocean current images. Calculate whether the judgment of the height of the drone on the surface current will be erroneous due to the height of the sea.
The UAV measurements will be based on the properties of the dispersion relation of the waves, involving physical phenomena in the calculation process. Filter by analyzing the image by dispersion relation. During the shooting process, the aerial camera must be equipped with a stable lens device to prevent the gimbal from shaking and unstable during the recording process. The camera lens must be kept perpendicular to the water surface, and the drone must be stationary during the shooting and recording process; Surface currents are clearly visible in the video. Otherwise, the recorded images will be unstable and blurry, which will affect the calculated results.
The drone must be capable of recording the shooting altitude and the world coordinate position in the image during the recording process. When the image is corrected, the image in the image and the world coordinate will be calculated together. Image calibration will first compare the image of the image with the real world coordinates. The corrected image is divided into several square areas, and fitting parameters are set to fit the physical system signals generated by the most credible ocean current response, and the dispersion relation of ocean currents is applied to each square area. Then the signal-to-noise ratio filter is used to obtain the correct signal, and the physical signal of the ocean current is drawn in the grid referenced by the camera and the world coordinates recorded by the drone.

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