The Web-Based Assessment for Inundated Area Detection

Author

Limlahapun, Ponthip ; Fukui, Hiromichi

Author_Institution

Keio Res. Inst. at Shonan, Keio Univ., Fujisawa, Japan

fYear

2012

fDate

8-10 Aug. 2012

Firstpage

817

Lastpage

822

Abstract

An object-based image processing technique is applied to detect inundated areas using Land sat images. An interoperable Web-based system was developed to conduct the analyses so that redundant steps in Land sat image processing can be effectively eliminated. A review process is used to discover and develop suitable algorithms to automatically detect inundated areas and immediately transfer the results to the Web-based interface. This is a significant improvement over currently available methods for inundation detection systems. The tool is expected to be a practical inundated area detection function and be applicable across wide-reaching areas.

Keywords

Internet; artificial satellites; geophysical image processing; open systems; remote sensing; user interfaces; Land sat image processing; Web-based assessment; Web-based interface; interoperable Web-based system; inundated area detection; object-based image processing; review process; Earth; Feature extraction; Image segmentation; MATLAB; Remote sensing; Satellites; inundated area detection; object-based analysis; web-based system;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on

Conference_Location

Kyoto

Print_ISBN

978-1-4673-2120-4

Type

conf

DOI

10.1109/SNPD.2012.75

Filename

6299234