七參數轉換為一種非線性轉換式，倘若要解算轉換參數，普遍將轉換式線性化，並以疊代的方法計算參數估計值。本文比較研究相似轉換參數解之非疊代法，是為一種不須設置初始值，更不需要透過迭代來求最佳估值。目前已知的非疊代求解轉換參數法可以歸納為三個步驟:依序求得尺度參數、三個旋轉參數、三個平移參數。應用於多測站光達點雲時，因各測站的點雲資料均屬於不同局部坐標系統，必須透過轉換各站的點雲整合至統一的坐標系統中。
研究以特徵為基礎(Feature-based)的方式，萃取測站間的共軛點坐標，以不同的相似轉換解法解算七參數。將各測站的點雲轉換到同一個坐標框架系統中，完成測站點雲的整合，並比較相似轉換解法間的差異性。
實驗分成模擬資料以及實際資料，透過模擬資料分析方法間的差異及關連性，並在實際資料中確認方法的可行性。在模擬資料的成果中，針對參數解算上的精度，疊代方法仍較非疊代的求解來的好。以效率來看，非疊代法的解算速度較快，相對於疊代法來的直觀且簡易。實驗中分析於控制點以外的檢核點產生的問題，並建議若以疊代方式解算，需將使控制點分布在觀測點之周圍，觀測物體變形情形會相對較非疊代解來的好。
實際資料確切能夠透過兩種方法獲得轉換參數，也成功將不同測站之點雲擬合至相同坐標框架中，因人工選點以及測量範圍的誤差應造成更嚴重的誤差，所以能夠確切本研究之實際資料的誤差精度為公分級。

The seven-parameter transformation is a nonlinear transformation. If the transformation parameters are to be solved, the transformation is generally linearized and the parameter estimates are calculated in an iterative manner. This paper compares the non-inversion method of the similar transformation parameter solution, which is not necessary to set the initial value, and does not need to find the best estimate through iteration.
In a feature-based approach, the coordinates of the conjugate points between the stations are extracted, and the seven parameters are solved by different similar transformation solutions. The point cloud of each station is converted into the same coordinate frame system, the integration of the measurement site cloud is completed, and the difference between the similar transformation solutions is compared.
The experiment is divided into simulation data and actual data. Through the simulation data analysis method differences and correlations, and confirm the feasibility of the method in the actual data.
In the results of the simulation data, the iterative method is still better than the non- iterative solution for the accuracy of the parameter solution. In terms of efficiency, the non-aliasing method is faster and easier to implement than the iterative method.
It is suggested that if the solution is solved in an iterative manner, it is necessary to distribute the control points around the observation object, and the deformation of the observation object will be better than that of the non-inversion solution.
The actual data can be obtained by two methods.
Because the error of manual selection and measurement range should cause more serious errors, the error of the actual data of this study can be determined as centimeters.

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