Slow Feature Analysis for Change Detection in Multispectral Imagery

Change detection was one of the earliest and is also one of the most important applications of remote sensing technology. For multispectral images, an effective solution for the change detection problem is to exploit all the available spectral bands to detect the spectral changes. However, in practi...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 52; H. 5; S. 2858 - 2874
Hauptverfasser:	Wu, Chen, Du, Bo, Zhang, Liangpei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.05.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied geophysics Change detection Change detection algorithms Covariance matrices Detection algorithms Earth sciences Earth, ocean, space Eigenvalues and eigenfunctions Exact sciences and technology Feature extraction Image detection image transformation Internal geophysics Invariants Pixels Principal component analysis Remote sensing slow feature analysis (SFA) Spectra Spectral bands image transformation Change detection slow feature analysis (SFA) experimental studies algorithms Thematic Mapper imagery transformations remote sensing technology Pixel
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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