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http://dx.doi.org/10.5762/KAIS.2020.21.9.17

A Study on the Spectral Information and Reflectance Characteristic of Levee Crack  

Kim, Jong-Tae (Nature and Technology Inc.)
Lee, Chang-Hun (Nature and Technology Inc.)
Kang, Joon-Gu (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.9, 2020 , pp. 17-24 More about this Journal
Abstract
This study examined the spectral information and reflectance of cracks of an embankment with drone-based hyperspectral imagery for crack detection. A Nano-Hyperspec mounted on a drone was used as a sensor, and hyperspectral videos of different intensities of illumination of the cracks on the embankment located in the downstream of Andong-Dam were obtained. An analysis of the data value of the illumination and peak data-value, the coefficients of determination were calculated to be 0.9864 of the uncracked areas and 0.9851 of the cracked area. The reflectance of each area showed a similar value and pattern, regardless of the intensity of illumination. This result may have occurred because the reference values of the white reference as the calculation criteria of reflectance varied according to the intensity of illumination. The reflectance at the cracked area was 5.65% lower in visible light and 4.58% lower in near-infrared light than that at the uncracked area. The detection of cracks may offer more precise results in further studies when the gimbal direction and camera angles of the drone are calibrated. Because hyperspectral imagery enables the detection of crack depths and types of clay minerals, which are difficult to identify in general RGB imagery, it can serve as a preemptive measure for evaluating the embankment stability.
Keywords
Cracked Area; Drone; Hyperspectral Imagery; Illumination; Reflectance;
Citations & Related Records
Times Cited By KSCI : 12  (Citation Analysis)
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