应用三维雷射扫描於岩坡露头位态之量测Application of 3D Laser.PDF

應用三維雷射掃描於岩坡露頭位態之量測 洪子恩 (1) 馮正一 *(2) 吳宗江 (3) 摘要 本研究選擇兩個試驗場址進行 3D雷射掃描實作，驗證以模糊群聚(Fuzzy Cluster)演算求 取岩坡露頭表面位態之方法。與傳統之位態量測相比，此方法具有快速及遠距量測之優點，且 可減除地質師攀爬岩坡之風險。本研究先使用 3D 雷射掃描儀進行露頭表面之掃描，取得其空 間座標點雲(point clouds)，利用 FastRBF函數(Fast Radial Basic Function)將點雲資料進 行處理、補點、並轉換成一組三角網格，再以平面方程式計算各網格之單位法向量。最後，利 用模糊群聚演算進行位態之群聚分類。本研究以不同之群聚數目(K=2〜7)，進行網格位態之分 類(2〜7 類)，在展示上則以不同顏色表示位態分類結果。 關鍵詞( ：三維雷射掃描、露頭、模糊群聚、點雲、FastRBF函數) Application of 3D Laser Scanning for Measuring Attitudes of Rockslope Outcrops (1) (2 ) (3) Tzu-En Hung , Zheng-Yi Feng* , Tsung-Chiang Wu Graduate student(1)(3) and Associate Professor(2), Department of Soil and Water Conservation, National Chung Hsing University, Taichung 402, Taiwan, R.O.C. ABSTRACT This study selected two test sites for 3D laser scanning to verify the method of fuzzy clustering in obtaining attitudes of outcrops. Compared to traditional measurement of attitude, this method has advantages of rapid and remote measurement, and can remove the risk of climbing steep rockslope. This study firstly use 3D scanner to scan the surfaces of outcrops, and obtain spatial coordinates of point clouds. The Fast Radial Basic Function is then applied to interpolate and convert the point clouds into a set of triangular grids. Using the plane equation, the unit normal of each grid can be calculated. Finally, the fuzzy clustering algorithm is applied to classify the attitudes into groups. This (1)國立中興大學水土保持學系碩士班研究生 (2)國立中興大學水土保持學系副教授 *通訊作者 (3)國立中興大學水土保持學系博士班研究生 247 水土保持學報 39 (3) ：247 - 267 (2007) Journal of Soil and Water Conservation , 39 (3) ：247 - 267 (2007) study used dif