Seismic image segmentation by fuzzy fusion of attributes

Author

Valet, Lionel ; Mauris, Gilles ; Bolon, Philippe ; Keskes, Naamen

Author_Institution

LAMII/CESALP, Annecy, France

Volume

50

Issue

4

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

1014

Lastpage

1018

Abstract

To know the subsoil organization, geophysicists try to interpret seismic images acquired by sending acoustic waves into the soil. This paper presents a method for the segmentation of these images in geological regions in order to help interpreters in their study. Information fusion of image attributes provides a solution to part of this complex problem. To realize aggregation, the fuzzy subset theory is an appropriate tool to code interpreter knowledge by a set of rules. The results obtained are promising and show the necessity to evaluate their quality more thoroughly

Keywords

acoustic imaging; fuzzy set theory; geophysical prospecting; geophysical signal processing; image segmentation; inference mechanisms; knowledge representation; seismology; sensor fusion; acoustic waves; aggregation; attributes; fuzzy fusion; fuzzy subset theory; information fusion; interpreter knowledge; seismic image segmentation; subsoil organization; Acoustic waves; Chaos; Geology; Geophysical measurements; Geophysics computing; Hydrocarbons; Image segmentation; Petroleum; Seismic measurements; Soil;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.948318

Filename

948318