Review of remote sensing methodologies for pavement management and assessment

被引:136
作者
Schnebele, E. [1 ,2 ]
Tanyu, B. F. [3 ]
Cervone, G. [1 ,2 ]
Waters, N. [1 ,2 ,4 ]
机构
[1] Penn State Univ, GeoInformat & Earth Observat Lab GEO, Dept Geog, 302 Walker Bldg, University Pk, PA 16802 USA
[2] Penn State Univ, Inst CyberSci, University Pk, PA 16802 USA
[3] George Mason Univ, Dept Civil Environm & Infrastruct Engn, Fairfax, VA 22030 USA
[4] Univ Calgary, Geog, Calgary, AB T2N 1N4, Canada
关键词
Road assessment; Remote sensing; Civil engineering; ROAD CRACK DETECTION; RADAR; THERMOGRAPHY; CONCRETE; SPECTROMETRY; VEHICLE; TOOL;
D O I
10.1007/s12544-015-0156-6
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Introduction Evaluating the condition of transportation infrastructure is an expensive, labor intensive, and time consuming process. Many traditional road evaluation methods utilize measurements taken in situ along with visual examinations and interpretations. The measurement of damage and deterioration is often qualitative and limited to point observations. Remote sensing techniques offer non-destructive methods for road condition assessment with large spatial coverage. These tools provide an opportunity for frequent, comprehensive, and quantitative surveys of transportation infrastructure. Methods The goal of this paper is to provide a bridge between traditional procedures for road evaluation and remote sensing methodologies by creating a comprehensive reference for geotechnical engineers and remote sensing experts alike. Results A comprehensive literature review and survey of current techniques and research methods is provided to facilitate this bridge. A special emphasis is given to the challenges associated with transportation assessment in the aftermath of major disasters. Conclusion The use of remote sensing techniques offers new potential for pavement managers to assess large areas, often in little time. Although remote sensing techniques can never entirely replace traditional geotechnical methods, they do provide an opportunity to reduce the number or size of areas requiring site visits or manual methods.
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页数:19
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