DEM gemeration from airborne lidar data by an adaptive dualdirectional slope filter

C. K. Wang, Y. H. Tseng

Research output: Contribution to journalConference articlepeer-review

33 Citations (Scopus)


An airborne LiDAR system is capable of collecting three-dimensional information over a large area effectively. Because of the rapid data collection, DEM generation using airborne LiDAR data has become a standard process since last decade. Filtering out nonground points from point clouds to obtain terrain relief is the key process for DEM generation from airborne LiDAR data. Many filtering methods have been proposed for this process. Basically they can be categorized into three main approaches: linear regression methods, slope-based methods, and morphology-based methods. Filters apply a certain assumption of smooth terrain, which cause an over-filtering problem in some terracing fields and cliff areas. This paper proposes an adaptive dual-directional filter based on a slope filter to deal with this problem. While the original slope filter is performed according to its whole adjacent covered window, the dual-directional adaptive filter is designed along an alternative direction in one dimension. The main difference between them is the designed filter shapes. The adaptive filters of different directions are complementary to each other, so that overfiltering situation can be avoided. Comparing with original slope-based filter and the commercial software TerraScan, our method shows better results in handling data of abrupt surfaces. The data used for comparison is the ISPRS test data. The variance, omission errors and commission errors are shown for the comparison. Our method has better performance in avoiding over-filtering situation and can keep as good accuracy as the compared methods.

Original languageEnglish
Pages (from-to)628-632
Number of pages5
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publication statusPublished - 2010 Jan 1
EventISPRS Technical Commission VII Symposium on Advancing Remote Sensing Science - Vienna, Austria
Duration: 2010 Jul 52010 Jul 7

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Geography, Planning and Development

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