Blind Signal Separation Methods for InSAR: The Potential to Automatically Detect and Monitor Signals of Volcanic Deformation-Reference-Cited by-同舟云学术

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Blind Signal Separation Methods for InSAR: The Potential to Automatically Detect and Monitor Signals of Volcanic Deformation

Published:2018-11 Issue:11 Volume:123 Page:10,226-10,251
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:J. Geophys. Res. Solid Earth

Author:

Gaddes M. E.¹^ORCID,Hooper A.¹^ORCID,Bagnardi M.²³^ORCID,Inman H.⁴⁵,Albino F.⁶^ORCID

Affiliation:

1. COMET; University of Leeds; Leeds UK

2. Formerly at COMET; University of Leeds; Leeds UK

3. Now at Jet Propulsion Laboratory; California Institute of Technology; Pasadena CA USA

4. Formerly at School of Earth and Environment, University of Leeds; Leeds UK

5. Now at Shearwater Geoservices; Pasadena CA USA

6. School of Earth Sciences; University of Bristol; Bristol UK

Funder

Natural Environment Research Council

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2018JB016210/fullpdf

Reference58 articles.

1. Faulting on the western flank of Mt. Etna and magma intrusions in the shallow crust Faulting on the western flank of Mt. Etna and magma intrusions in the shallow crust;Aloisi;Terra Nova,2007

2. Natural gradient learning for over- and under-complete bases in ICA natural gradient learning for over- and under-complete bases in ICA;Amari;Neural Computation,1999

3. Face recognition by independent component analysis face recognition by independent component analysis;Bartlett;IEEE Transactions on Neural Networks,2002

4. Information-maximization approach to blind separation and blind deconvolution information-maximization approach to blind separation and blind deconvolution;Bell;Neural Computation,1995

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