Multi-scale texture and color segmentation of oblique airborne video data for damage classification

A.K. Rasika, N. Kerle, S.R.K.B. Heuel

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
10 Downloads (Pure)


Natural disasters are rapid and extreme events within the Earth's system. Since unheralded events are associated with widespread destruction and high mortality, there is a need for rapid, accurate and reliable damage information in the critical post-event hours. In practice, collecting such information is a challenge because of the interruptions in communication systems and access difficulties in affected areas. Oblique airborne video imagery, frequently captured by the media or law enforcement agencies, can provide valuable information in place of satellite images, providing critical information in a timely and low cost manner. However, oblique video imagery currently poses substantial processing, registration and integration challenges due to the nature of video imaging. These constraints cause scale variations of texture and colour information within and between video images.
This work addresses the classification of damaged und undamaged areas using texture and colour in video image segmentation. Specifically, this study investigates the use of multi-scale and multivariate texture based segmentations of oblique video imagery. Theoretically and computationally simple and efficient, we deploy Local Binary Pattern (LBP) and Variance measures to differentiate relative texture patterns of damage and undamaged areas. The approach investigated here was tested on video data acquired of the 1999 Kocaeli, Turkey, earthquake site. The following challenges in the use of video data are identified: (i) differentiating texture patterns of damage classes from undamaged regions using poor quality video imagery, (ii) automating such procedures for entire video sequences, and (iii) geo-referencing the results.
Original languageEnglish
Title of host publicationProceedings of the ISPRS Commission VII Symposium
Subtitle of host publicationRemote Sensing: From Pixels to Processes, Enschede, The Netherlands, May 8-11, 2006
Place of PublicationEnschede, The Netherlands
PublisherInternational Institute for Geo-Information Science and Earth Observation
Number of pages8
Publication statusPublished - 2006
EventISPRS Commission VII Symposium 2006: Remote Sensing: From Pixels to Processes - Enschede, Netherlands
Duration: 8 May 200611 May 2006


ConferenceISPRS Commission VII Symposium 2006
Internet address


  • ADLIB-ART-1326
  • EOS


Dive into the research topics of 'Multi-scale texture and color segmentation of oblique airborne video data for damage classification'. Together they form a unique fingerprint.

Cite this