Detection and classification of changes in buildings from airborne laser scanning data

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Building change detection serves to investigate illegal buildings. Illegal built or removed structures, especially those concealed among gable roofs such as dormers, are difficult to track among potentially millions of buildings. Nevertheless, they can be efficiently located in changed areas. An approach is proposed to automatically detect and classify changes in buildings from two epochs of Airborne Laser Scanning Data. Both datasets are classified into water, ground, building, vegetation and undefined objects in advance. After generalization of a 3D surface separation map, we verify changes by making rules on the separation map. Changes belonging to buildings are then classified into roof, wall, dormers, vehicles, construction above roof and undefined objects. As the ALS data has accuracy in strip difference of lower than 5 cm within the same epoch and from different epochs, changes that are larger than 10 cm were detected. Building changes, which areas are larger than 4 m2, are identified as change. By inspection, nearly all changes are detected and approximately 80% changes are correctly classified.
Original languageEnglish
Title of host publicationWorkshop Laser Scanning 2013
Subtitle of host publication11-13 November 2013, Antalya, Turkey
EditorsM. Scaioni, R.C. Lindenbergh, S. Oude Elberink, D. Schneider, F. Pirotti
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Number of pages6
Publication statusPublished - 11 Nov 2013
EventISPRS Workshop Laser Scanning 2013 - Antalya, Turkey
Duration: 11 Nov 201313 Nov 2013 (Full text Open Access proceedings)

Publication series

NameISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN (Print)2194-9042


ConferenceISPRS Workshop Laser Scanning 2013
OtherISPRS Annals Volume II-5/W2
Internet address


  • Building
  • Change
  • Classification
  • ALS
  • Change detection
  • Airborne laser scanning


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