Abstract
Terrestrial reconnaissance in the border provinces in Thailand is very risky and dangerous mission for troops and government officers. Many of troops were killed and injured by the incendiary bombs buried in the roads. In order to preventing the loss of life and property damages, many inventions of bomb detector have been commercially used such as GPR (Ground Penetration Radar) and REST (Remote Explosive Scent Tracing). Unfortunately, these technologies are expensive and inappropriate in some situations. This paper presents the forthcoming technology of the real-time image recognition for terrestrial reconnaissance. By using the road texture analysis in image analytic, the data set of normal surfaces of the road (e.g. asphalt road and gravel road) will be trained as the prior-knowledge. The system can compare the buried surface with the normal surface of the road and warning the troops beforehand.
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Acknowledgement
“This research was funded by the King Mongkut’s University of Technology North Bangkok. Contract no. KMUTNB-GOV-60-53”.
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Pensiri, F., Phupittayathanakorn, C., Visutsak, P. (2017). The Image Recognition System for Terrestrial Reconnaissance. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-10-6430-2_21
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DOI: https://doi.org/10.1007/978-981-10-6430-2_21
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