IJSSH 2017 Vol.7(7): 472-477 ISSN: 2010-3646
doi: 10.18178/ijssh.2017.V7.869

SAR Imagery-Based Detection to Support Inundated Observation Using Web Technology

P. Limlahapun and H. Fukui
Abstract—Inundated monitoring using satellite-based images can be successively performed independently of weather conditions, especially on synthetic aperture radar (SAR) images. This capability is used to perform flood observation on tracks. However, the operation of image detection requires practical skills in dealing with image processing tools and theoretical applications on signal penetration of the electromagnetic spectrum region. In this paper, we propose a method and algorithm suitable for detecting water features on satellite images through a web interface. This approach helps provide inundated features as auxiliary information to rapidly support flood management. In addition, it serves as an option for general public use. While SAR images remain difficult to interpret, the proposed system aids in quickly detecting inundated areas compared to the image processing software. Furthermore, it is not limited to area-based calculations, which can be applied worldwide.

Index Terms—Feature detection, inundated area, SAR imagery, web-based system.

Ponthip Limlahapun is with the Research fellow of the Japan Society for the Promotion of Science, Thailand (e-mail: thip.limlahapun@gmail.com)
H. Fukui is with the Chubu University, Japan.

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Cite: P. Limlahapun and H. Fukui, "SAR Imagery-Based Detection to Support Inundated Observation Using Web Technology," International Journal of Social Science and Humanity vol. 7, no. 6, pp. 472-477, 2017.

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