Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase two, volume 5 : aerial bridge deck imaging data collection and software revision.

Details

• Creators:
  Chen, Shen-En ; Natarajan, Meenu ; Martin, William E. ; Hauser, Edd
• Corporate Creators:
  University of North Carolina at Charlotte. Transportation Policy Studies
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Bridge management systems
  • Remote sensing
  • Structural analysis
  • Structural health monitoring
  • Aerial photography
  • Visualization
  • Bridge decks
  • Data collection
  • Software
  • Image analysis
  More +
• Publication/ Report Number:
  USDOT/RITA DT0S59-07-H-005
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  University of North Carolina at Charlotte. Transportation Policy Studies
• Abstract:
  For rapid deployment of bridge scan missions, sub-inch aerial imaging using small format aerial photography ; is suggested. Under-belly photography is used to generate high resolution aerial images that can be geo-referenced and ; used for quantifying bridge deck problems. With the ability to scan the entire bridge surface in a single flyby, the ; proposed approach is seen as an excellent supplement to bridge visual inspection and may be superior to conventional ; truck-mount or vehicle-mount deck imaging technologies. Conventional truck-mount technique only sees a very ; portion of the bridge deck, hence, requires using sampling approach to quantify damages on a bridge deck. Using full ; bridge deck image, aerial photography can establish much more realistic damage scenarios. However, aerial imaging ; poses different issues that are not encountered by ground-based techniques including shadows from trees, power lines ; and vehicles, visual obstructions from vehicles-on-bridge, and image resolution-induced uncertainties, etc. Also the ; image resolution uncertainty which is a function of the pilot skills and flying conditions may add a challenge to aerial ; image technique. Different image processing tools such as image extraction, shadow removals and crack detection, ; therefore, have to be integrated into the damage quantification workflow. The tool development can be either post georeferencing or pre-GIS operation. Post geo-referencing operation can rely on built-in GIS functions; however, it is ; limited in image processing capabilities. Pre-GIS operation, however, resulted in relative quantities that may create ; numerical distortions. Some preliminary results are presented in this report.
  More +
• Format:
  PDF
• Funding:
  DT0S59-07-H-005
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28732/dot_28732_DS1.pdf
• File Type:
  [PDF - 20.19 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:a24afe351842c400b76ec3a3cfc5c34c6a53e498f8124157f865d6f7f69cd2d8