Use of laser range and height texture cues for building identification


Airborne LiDAR has found application in an increasing number of mapping and Geo-data acquisition tasks. Apart from terrain information generation, applications such as automatic detection and modeling of objects like buildings or vegetation for the generation of 3-D city models have been explored. Besides the height itself, height texture defined by local variations of the height is a significant parameter for object recognition. The paper explores the potential of the analysis of height texture as a cue for the automatic detection of objects in LiDAR datasets. A number of texture measures were computed. Based on their definition and computation these measures were used as bands in a classification algorithm, and objects like buildings, single trees, and roads could be recognized.

This is a preview of subscription content, log in to check access.


  1. Ackermann F (1999) Airborne laser scanning — present status and future expectations. ISPRS Journal of Photogrammetry & Remote Sensing 54:64–67

    Article  Google Scholar 

  2. Alharthy A, Bethel J,

  3. Arefi H, Hahn M and Lindenberger J. (

  4. Axelsson P (1999) Processing of laser scanner data — algorithms and applications. ISPRS Jourmal of Photogrammetry and Remote Sensing 54(2–3):138–147

    Article  Google Scholar 

  5. Brenner C and Haala N (1999) ISPRS Extracting of building and trees in urban environments. Journal of photogrammetry & Remote Sensing 54:130–137

    Article  Google Scholar 

  6. Filin S (2002) Surface clustering from airborne laser scanning data. ISPRS Commission III, Symposium 2002 September 9–13, 2002, Graz, Austria, pages A-119 ff (6 pages)

  7. Haralick R and Shapiro L (1992) Computer and Robot Vision, volume 1. Addison-Wesley Publishing Company

  8. Kraus K and Pfeifer N (1998) Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS Jourmal of Photogrammetry and Remote Sensing 53:193–203

    Article  Google Scholar 

  9. Mass GH (1999) The potential of height texture measures for the segmentation of airborne laserscanner data. Presented at the 4th Airborne Remote Sensing Conference and Exhibition, Ottawa, Ontario, Canada, 21–24 June

  10. Vosselman G (2000) Slope based filtering of laser altimetry data. International Archives of Photogrammetry and Remote Sensing, XXXIII, Amsterdam

  11. Weidner U and Forstner W (1995) Towards automatic building extraction from high resolution digital models. ISPRS J 50(4):34–49

    Google Scholar 

  12. Zhang K, Cheng S, Whitman D, Shyu M, Yan J and Zhang C (2003) A progressive morphological filter for removing non-ground measurements from airborne LIDAR data. IEEE Transactions on Geoscience and Remote Sensing 41(4):872–882

    Article  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to Poonam S. Tiwari.

About this article

Cite this article

Tiwari, P.S., Pande, H. Use of laser range and height texture cues for building identification. J Indian Soc Remote Sens 36, 227–234 (2008).

Download citation


  • Airborne LiDAR
  • Height texture
  • Classification
  • Building identification