NDLI: Study on highway geological disasters knowledge base for remote sensing images interpretation

Content Provider	IEEE Xplore Digital Library
Author	Liu, Y. Ren, Y. Leiqiua Hu Zhumeia Liu
Copyright Year	2012
Description	Author affiliation: Institute of Remote Sensing Applications, Chinese Academy of Sciences; P.O.Box 9718, Datun Road, Chaoyang District, Beijing (100101), China (Liu, Y.; Ren, Y.; Leiqiua Hu; Zhumeia Liu)
Abstract	Knowledge can help to find a problem-solution quickly, and knowledge base is a practical tool for managing knowledge systematically. Due to highway geological disasters, cognition from remote sensing images is a complex technology; it's relevant for disaster mitigation to establish a knowledge base. But most of the frameworks of knowledge base are incomplete due to lack of experts' knowledge and insufficient quantitative knowledge from images. The purpose of this paper is to construct a highway geological disasters knowledge base (HGDKB) by making full use of multi-features knowledge of images, the visual recognition knowledge of experts, and the object-oriented approach to enabling knowledge being shared for highway geological disasters cognition. Firstly, the knowledge base framework is built, and the object-oriented method is used to represent knowledge by extensible markup language (XML) programming. Then, with the completion of HGDKB, the knowledge base is used to discern and recognize the debris movements with state highway corridor from Wenchuan to Dujiangyan of Sichuan of China as the pilot study.
Starting Page	6126
Ending Page	6129
File Size	333152
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6352208
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge based systems Geology Remote sensing Road transportation Databases Knowledge acquisition Visualization Geological disaster Object-oriented method Interpretation Knowledge base Highway
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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