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Solar loading thermography: Time-lapsed thermographic survey and advanced thermographic signal processing for the inspection of civil engineering and cultural heritage structures
Institution:1. Computer Vision and Systems Laboratory, Laval University, Quebec City, Quebec, G1K 7P4, Canada;2. Las.E.R. Laboratory, Dept. of Industrial and Information Engineering and Economics (DIIIE), University of L''Aquila, Monteluco di Roio - L''Aquila (AQ), 67100, Italy;3. Visiooimage Inc, Infrared Vision Systems, 2604 Lapointe, Quebec City, Quebec, G1W 1A8, Canada;1. School of Automation, Huazhong University of Science and Technology, Wuhan, China;2. National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Wuhan, PR China;1. Department of Electronic & Computer Engineering, Ngee Ann Polytechnic, 535 Clementi Rd, S599489, Singapore;2. Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Malaysia;3. Department of Biomedical Engineering, School of Science and Technology, SIM University, 599491, Singapore;1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;2. Computer School, Central China Normal University, Wuhan 430079, China;1. Department of Physics, Xiamen University, Xiamen 361005, Fujian, People''s Republic of China;2. Department of Electrical and Computer Engineering, National University of Singapore, Singapore 119260, Singapore;3. Key Laboratory of Semiconductor Materials Science, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, People''s Republic of China
Abstract:The experimental results from infrared thermography surveys over two buildings externally exposed walls are presented. Data acquisition was performed on a static configuration by recording direct and indirect solar loading during several days and was processed using advanced signal processing techniques in order to increase signal-to-noise ratio and signature contrast of the elements of interest. It is demonstrated that it is possible to detect the thermal signature of large internal structures as well as surface features under such thermographic scenarios. Results from a long-wave microbolometer compared favorably to those from a mid-wave cooled infrared camera for the detection of large subsurface features from unprocessed images. In both cases, however, advanced signal processing greatly improved contrast of the internal features.
Keywords:Thermography  Solar loading  Signal processing  Building survey  Cultural heritage  Civil engineering structures
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