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摘要
外文摘要
引文資料
題名:
應用空載光達資料自動化萃取建物邊界線
書刊名:
航測及遙測學刊
作者:
洪曉竹
/
曾義星
/
朱宏杰
作者(外文):
Hung, Hsiao-chu
/
Tseng, Yi-hsing
/
Chu, Hone-jay
出版日期:
2016
卷期:
20:4
頁次:
頁279-299
主題關鍵詞:
空載光達
;
點雲
;
建物邊界萃取
;
建物模型重建
;
Airborne LiDAR
;
Point cloud
;
Building boundary extraction
;
3D building reconstruction
原始連結:
連回原系統網址
相關次數:
被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
排除自我引用:0
共同引用:0
點閱:1
建物邊界線乃二維與三維圖資中重要的地物空間資訊,目前仍以航測立體測繪方式產製為主,產製效率不高。空載光達提供地物表面密佈的三維取樣點雲,隱含豐富的地物幾何特徵及三維空間資訊。理論上可從光達點雲萃取出屋頂面與牆面特徵,取其交會線特徵獲得建物邊界線,但空載光達點雲分佈於牆面的點通常較稀疏,不易萃取牆面特徵,以獲得建物邊界線。此外,由於屋頂面的附屬結構使得點雲分佈更雜亂,常使萃取得的邊界線特徵不連貫。本文針對上述課題提出自動化萃取建物邊界線之程序,演算法包含兩步驟,第一步驟是萃取三維平面點雲與邊界點偵測,結合多重回訊點,先獲得邊界線的候選點雲;第二步驟是透過Hough transform、直線擬合與線段分割等步驟萃取邊界線段。本研究選出十棟不同類型的建物進行測試,檢視邊界線萃取方法的成功率及效能,與現有地形圖比較之量化評估成果顯示,約70%的建物邊界線可被正確萃取出來,對屋頂結構線的正確萃取率也約可達85%,顯示出本研究所提出之演算法,對於從空載光達點雲資料萃取建物邊界線及結構線是有成效的。所萃取之建物邊界線及結構線乃三維建物模型重建的基本資料元素。
以文找文
Building boundary is one of the important components for the mapping of 2D digital topographic maps and the modeling of 3D city buildings. Photogrammetry is currently the common technique applied for building boundary generation,which are labor intensive. Airborne LiDAR data provides abundant3Dinformation of the scanned objects.The characteristics of objects are implicitly contained in the data set. Usually top surfaces, such as roofs, may have densely distributed points, but vertical surfaces, such as walls, usually have sparsely distributed points or even no points. Building boundaries, referring to the intersections of roof and wall planes are, therefore, not clearly defined in point clouds.To overcome this problem, this paper develops an algorithm to acquire building boundary from airborne LiDAR data. Threemajor process steps are included in the algorithm. Firstly the point clouds are classified as building points and non-building points. Then, octree-based split-and-merge segmentation is implemented to extract plane features.Second, those building points and coplanar points are used to trace the boundary points by concave-hull algorithm. Boundary points of coplanar point group and building points and the first and intermediate echo points of multi-return scan are selected as candidates of building boundary points. Finally, methods of the Hough transform, line fitting and line segmentation are applied to find line segments belonging to building boundaries. The experiment results show the effectiveness of the proposed method for automatic building boundary extraction from airborne LiDAR data, and that combining the information of the first and intermediate echo points of multi-return and the boundary points increases the completeness of boundaries. And, it is promising to use the extracted boundaries for 3D building modeling in the future.
以文找文
期刊論文
1.
Tseng, Y. H.、Wang, S.(2003)。Semi-automated Building Extraction Based on CSG Model-Image Fitting。Photogrammetric Engineering & Remote Sensing,69(2),171-180。
2.
Duda, R. O.、Hart, P. E.(1972)。Use of the hough transformation to detect lines and curves in pictures。Communications of the ACM,15(1),11-15。
3.
Wang, M.、Tseng, Y.-H.(2010)。Automatic Segmentation of LiDAR Data into Coplanar Point Clusters Using an Octree-Based Split-and-Merge Algorithm。Photogrammetric Engineering and Remote Sensing,76(4),407-420。
4.
Andraw, A. M.(1979)。Another Efficient Algorithm for Convex Hulls in Two Dimensions。Information Processing Letters,5(9),216-219。
5.
Dorninger, P.、Pfeifer, N.(2008)。A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds。Sensors,8(11),7323-7343。
6.
Huang, H.、Brenner, C.、Sester, M.(2013)。A Generative Statistical Approach to Automatic 3D Building Roof Reconstruction from Laser Scanning Data。ISPRS Journal of Photogrammetry and Remote Sensing,79,29-43。
7.
Jarzabek-Rychard, M.(2012)。Reconstruction of Building Outlines in Dense Urban Areas Based on LiDAR Data and Address Points。International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,2012(Aug.),121-126。
8.
Kada, M.、Wichmann, A.(2012)。Sub-surface Growing and Boundary Generalization for 3D Building Reconstruction。ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2012(Aug.),233-238。
9.
Kim, C.、Habib, A.(2009)。Object-Based Integration of Photogrammetric and LiDAR Data for Automated Generation of Complex Polyhedral Building Models。Sensors,9(7),5679-5701。
10.
Lee, J.、Han, S.、Byun, Y.、Kim, Y.(2011)。Extraction and Regularization of Various Building Boundaries with Complex Shapes Utilizing Distribution Characteristics of Airborne LiDAR Points。ETRI Journal,33(4),547-557。
11.
Ma, R.(2005)。DEM Generation and Building Detection from LiDAR Data。Photogrammetric Engineering & Remote Sensing,71(7),847-854。
12.
Sampath, A.、Shan, J.(2007)。Building Boundary Tracing and Regularization from Airborne LiDAR Point Clouds。Photogrammetric Engineering & Remote Sensing Journal,73(7),805-812。
13.
Tu, C.、Wyk, B. J. V.、Djouani, K.、Hamam, Y.、Du, S.(2011)。A Super Resolution Algorithm to Improve the Hough Transform。Image Analysis and RecognitionLecture Notes in Computer Science,6753,80-89。
14.
Vosselman, G.、Dijkman, S.(2001)。3D Building Model Reconstruction from Point Clouds and Ground Plans。International Archives of Photogrammetry and Remote Sensing,34(3),37-43。
15.
Wei, S.(2008)。Building Boundary Extraction Based on LIDAR Point Clouds Data。International Archives of Photogrammetry and Remote Sensing,2008(Jul.),157-162。
會議論文
1.
Al-Durgham, M.、Kwak, E.、Habib, A.(2012)。Automatic Extraction of Building Outlines from LiDAR Using the Minimum Bounding Rectangle Algorithm。The Global Geospatial Conference。
學位論文
1.
劉嘉銘(2005)。光達點雲資料特徵萃取之研究(碩士論文)。國立成功大學。
延伸查詢
2.
蔡函芳(2009)。多重影像匹配於房屋邊緣線三維定位(碩士論文)。國立中央大學。
延伸查詢
圖書
1.
茂榮編輯部(2011)。最新建築技術規則。臺北:茂榮書局。
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