Efficient segmentation of geophysical field images on basis of independent component analysis

Author

Mironenko, Andrey ; Akhmetshin, Alexander M. ; Akhmetshina, Luydmila G.

Author_Institution

Radiophys. Fac., Dnepropetrovsk Nat. Univ., Ukraine

Volume

1

fYear

2005

fDate

25-29 July 2005

Abstract

In the paper, we consider a new method of geophysical fields image analysis and sensitive segmentation. The method has a high sensitivity in comparison with other well known techniques of geophysical field image analysis and consists of the following main steps: expand the informational features using zero-space imaging method, processing by independent component analysis, data fusion based on Kohonen´s self-organizing map.

Keywords

geophysical signal processing; geophysical techniques; image segmentation; independent component analysis; remote sensing; self-organising feature maps; sensitivity; sensor fusion; Kohonen self-organizing map; data fusion; geophysical field image analysis; image segmentation; independent component analysis; informational features; sensitivity; zero-space imaging; Brightness; Image analysis; Image segmentation; Independent component analysis; Magnetic analysis; Magnetic fields; Multidimensional systems; Polynomials; Psychology; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International

Print_ISBN

0-7803-9050-4

Type

conf

DOI

10.1109/IGARSS.2005.1526167

Filename

1526167