DocumentCode :
2139549
Title :
Knowledge-based interpretation of satellite data by object-based and multi-scale image analysis in the context of nuclear verification
Author :
Niemeyer, Irmgard ; Canty, Morton J.
Author_Institution :
Program Group Syst. Anal. & Technol. Evaluation, Res. Center Juelich, Germany
Volume :
7
fYear :
2001
fDate :
2001
Firstpage :
2982
Abstract :
The use of commercial satellite images for the verification of nuclear treaties has been suggested recently in the context of a new protocol extending the rights of the International Atomic Energy Agency (IAEA) to verify the absence of undeclared nuclear activities within its member states. This paper investigates the application of a relatively new technology for image analysis, called "e-cognition", which is a procedure for object-oriented and multi-scale image analysis in semantic networks. The aim of this study is to examine the possibilities of (semi-)automatic object recognition in the context of nuclear safeguards. According to our results, object-oriented and knowledge-based image analysis are recommendable for the recognition of undeclared nuclear activities
Keywords :
government data processing; image processing; knowledge based systems; nuclear materials safeguards; object recognition; object-oriented programming; remote sensing; semantic networks; surveillance; Landsat TM5; commercial satellite images; electronic cognition; knowledge-based image analysis; multi-scale image analysis; nuclear safeguards; nuclear treaty verification; object recognition; object-oriented image analysis; satellite data interpretation; semantic networks; undeclared nuclear activities; Image analysis; Image recognition; Image resolution; Image segmentation; Inductors; Object recognition; Power generation; Protocols; Remote sensing; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
Type :
conf
DOI :
10.1109/IGARSS.2001.978229
Filename :
978229
Link To Document :
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