Application of infrared thermal images for sinkhole detection with time-series and time-difference index data through a convolution neural network

Author:

Jang Byeong-su1,Yoon Hyung-Koo1

Affiliation:

1. Department of Construction and Disaster Prevention Engineering, Daejeon University, Daejeon, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Reference42 articles.

1. Evaluation of the high-temperature rheological performance of tire pyrolysis oil-modified bio-asphalt

2. Bloomquist, D., Shrestha, R., and Slatton, C., 2005. Early sinkhole detection and verification using airborne laser and infrared technologies: final report BC-354-54. Department of Civil and Coastal Engineering, University of Florida, 1–114.

3. Characterization of Cementation Factor of Unconsolidated Granular Materials Through Time Domain Reflectometry with Variable Saturated Conditions

4. SDDNet: Real-Time Crack Segmentation

5. Development of a thermal excitation source used in an active thermographic UAV platform

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