Automatic roof model reconstruction from ALS data and 2D ground plans based on side projection and the TMR algorithm

Jiann Yeou Rau, Bo Cheng Lin

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


This paper presents an automatic roof model reconstruction method based on the side projection of airborne laser scanning (ALS) data. The proposed approach first detects the building's primary orientation and decomposes multi-layer roofs into a single one. Then, 3D structural lines are detected and restored from the projected point clouds. Finally, a line-based roof model reconstruction algorithm, namely TIN-Merging and Reshaping (TMR), is proposed. The originality for 3D roof modeling is to perform geometric analysis and topology reconstruction from two 2D projections and then reshapes the roof using elevation information from the 3D structural lines or ALS data. Experimental results indicate a nearly 100% success rate for topology reconstruction can be achieved provided that the 3D structural lines can be enclosed as polygons. However, the success rate of the Reshaping stage is dependent on the complexity of the rooftop structure. With the exception of domed and multiple orientations roofs, which are not considered in the developed method, we achieve success rates around 92-95%. As for absolute accuracy, less that 50. cm of root-mean-square error is observed in all X-Y-Z directions. The results demonstrate that the proposed scheme is robust and accurate even when a group of connected buildings with multiple layers and mixed roof types is processed.

Original languageEnglish
Pages (from-to)S13-S27
JournalISPRS Journal of Photogrammetry and Remote Sensing
Issue number6 SUPPL.
Publication statusPublished - 2011 Dec

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Computers in Earth Sciences


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