Post-earthquake road damage assessment using region-based algorithms from high-resolution satellite images

A. Haghighattalab, A. Mohammadzadeh, M. J. Valadan Zoej, M. Taleai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Receiving accurate and comprehensive knowledge about the conditions of roads after earthquake strike are crucial in finding optimal paths and coordinating rescue missions. Continuous coverage of the disaster region and rapid access of high-resolution satellite images make this technology as a useful and powerful resource for post-earthquake damage assessment and the evaluation process. Along with this improved technology, object-oriented classification has become a promising alternative for classifying high-resolution remote sensing imagery, such as QuickBird, Ikonos. Thus, in this study, a novel approach is proposed for the automatic detection and assessment of damaged roads in urban areas based on object based classification techniques using post-event satellite image and vector map. The most challenging phase of the proposed region-based algorithm is the segmentation procedure. The extracted regions are then classified using nearest neighbor classifier making use of textural parameters. Then, an appropriate fuzzy inference system (FIS) is proposed for road damage assessment. Finally, the roads are correctly labeled as 'Blocked road' or 'Unblocked road' in the road damage assessment step. The proposed method was tested on QuickBird pan-sharpened image of Bam, Iran, concerning the devastating earthquake that occurred in December 2003. The visual investigation of the obtained results demonstrates the efficiency of the proposed approach.

Original languageEnglish (US)
Title of host publicationImage and Signal Processing for Remote Sensing XVI
DOIs
StatePublished - Dec 9 2010
Externally publishedYes
EventImage and Signal Processing for Remote Sensing XVI - Toulouse, France
Duration: Sep 20 2010Sep 22 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7830
ISSN (Print)0277-786X

Other

OtherImage and Signal Processing for Remote Sensing XVI
CountryFrance
CityToulouse
Period9/20/109/22/10

Keywords

  • QuickBird image
  • damage detection
  • eCognition
  • fuzzy inference system
  • object-oriented classification
  • road damage assessment
  • texture analysis

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