Detection of asphalt pavement cracks using remote sensing techniques

Christodoulos Mettas; Athos Agapiou; Kyriacos Themistocleous; Kyriacos Neocleous; Diofantos G. Hadjimitsis

doi:10.1117/12.2240682

26 October 2016 Detection of asphalt pavement cracks using remote sensing techniques

Christodoulos Mettas, Athos Agapiou, Kyriacos Themistocleous, Kyriacos Neocleous, Diofantos G. Hadjimitsis

Proceedings Volume 10008, Remote Sensing Technologies and Applications in Urban Environments; 100080W (2016) https://doi.org/10.1117/12.2240682
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

Deterioration of asphalt road pavements is inevitable throughout its life cycle. There are several types of deterioration that take place on these surfaces, like surface defects and deformations. One of the most common asphalt defects is cracking. Fatigue, transverse, longitudinal, reflective, edge, block and slippage are types of cracking that can be observed anywhere in the world. Monitoring and preventative/periodic maintenance of these types of wears are two very important actions that have to take place to avoid “costly” solutions. This paper aims to introduce the spectral characteristics of uncracked (healthy) and cracked asphalt surfaces which can give a new asphalt crack index. This is performed through remote sensing applications in the area of asphalt pavements. Multispectral images can be elaborated using the index to enhance crack marks on asphalt surfaces. Ground spectral signatures were acquired from both uncracked and cracked asphalted areas of Cyprus (Limassol). Evaluation separability indices can be used to identify the optimum wavelength regions that can distinguish better the uncracked and cracked asphalt surfaces. The results revealed that the spectral sensitivity for the enhancement of cracked asphalt was detected using the Euclidean, Mahalanobis and Cosine Distance Indices in the Vis range (approximately at 450 nm) and in the SWIR 1 range (approximately at 1750 nm).

Citation Download Citation

Christodoulos Mettas, Athos Agapiou, Kyriacos Themistocleous, Kyriacos Neocleous, and Diofantos G. Hadjimitsis "Detection of asphalt pavement cracks using remote sensing techniques", Proc. SPIE 10008, Remote Sensing Technologies and Applications in Urban Environments, 100080W (26 October 2016); https://doi.org/10.1117/12.2240682

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