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.

Chen, Shen-En; Natarajan, Meenu; Martin, William E.; Hauser, Edd; University of North Carolina at Charlotte. Transportation Policy Studies

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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.

2012-02-01
By Chen, Shen-En ; Natarajan, Meenu ; Martin, William E. ; ...

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Creators:

Chen, Shen-En ; Natarajan, Meenu ; Martin, William E. ; Hauser, Edd

Chen, Shen-En ; Natarajan, Meenu ; Martin, William E. ; Hauser, Edd Less -
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:

[+]

Aerial Photography Bridge Decks Bridge Management Systems Data Collection Geographic Information Systems Image Analysis Remote Sensing Software Structural Analysis Structural Health Monitoring Visualization
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.
Format:

PDF
Funding:

DT0S59-07-H-005
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

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urn:sha256:a24afe351842c400b76ec3a3cfc5c34c6a53e498f8124157f865d6f7f69cd2d8
Download URL:

https://rosap.ntl.bts.gov/view/dot/28732/dot_28732_DS1.pdf
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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.

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