Title :
Unsupervised change detection techniques using multispectral satellite images
Author :
Niemeyer, Irmgard ; Canty, Morton ; Klaus, Dieter
Author_Institution :
Res. Centre Julich, Germany
Abstract :
The use of commercial satellite images for the verification of nuclear treaties has been suggested previously 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. The present paper describes an application of principal component and canonical correlation analysis for change detection of Landsat TM images of the plutonium production complex near Kyshtym, Russia
Keywords :
correlation methods; image recognition; principal component analysis; remote sensing; unsupervised learning; IAEA; International Atomic Energy Agency; Kyshtym; Landsat TM images; Russia; canonical correlation analysis; commercial satellite images; multispectral satellite images; nonproliferation treaties; nuclear treaties; plutonium production complex; principal component analysis; undeclared nuclear activities; unsupervised change detection techniques; Covariance matrix; Eigenvalues and eigenfunctions; Geography; Group technology; Image analysis; Principal component analysis; Protocols; Remote sensing; Satellites; Vectors;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.773487
