Seismic image segmentation by fuzzy fusion of attributes

Bert Müller; Philipp Thurner; Felix Beckmann; Timm Weitkamp; Christoph Rau; Ricardo Bernhardt; Erdal Karamuk; Ludwig Eckert; Jörg Brandt; Stefan Buchloh; Erich Wintermantel; Dieter Scharnweber; Hartmut Worch

Seismic image segmentation by fuzzy fusion of attributes

Bert Müller, Philipp Thurner, Felix Beckmann, Timm Weitkamp, Christoph Rau, Ricardo Bernhardt, Erdal Karamuk, Ludwig Eckert, Jörg Brandt, Stefan Buchloh, Erich Wintermantel, Dieter Scharnweber, Hartmut Worch

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Nowadays, petroleum companies want to find some deposits to be explored in future years. To know the subsoil organization, Geophysicists try to interpret seismic images acquired by sending acoustic waves in 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 allows to solve 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.

Original language	English
Pages (from-to)	360-364
Number of pages	5
Journal	Conference Record - IEEE Instrumentation and Measurement Technology Conference
Volume	1
State	Published - 2000
Externally published	Yes

Cite this

@article{0f404c8004504225909be71400c69138,

title = "Seismic image segmentation by fuzzy fusion of attributes",

abstract = "Nowadays, petroleum companies want to find some deposits to be explored in future years. To know the subsoil organization, Geophysicists try to interpret seismic images acquired by sending acoustic waves in 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 allows to solve 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.",

author = "Bert M{\"u}ller and Philipp Thurner and Felix Beckmann and Timm Weitkamp and Christoph Rau and Ricardo Bernhardt and Erdal Karamuk and Ludwig Eckert and J{\"o}rg Brandt and Stefan Buchloh and Erich Wintermantel and Dieter Scharnweber and Hartmut Worch",

year = "2000",

language = "English",

volume = "1",

pages = "360--364",

journal = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Seismic image segmentation by fuzzy fusion of attributes

AU - Müller, Bert

AU - Thurner, Philipp

AU - Beckmann, Felix

AU - Weitkamp, Timm

AU - Rau, Christoph

AU - Bernhardt, Ricardo

AU - Karamuk, Erdal

AU - Eckert, Ludwig

AU - Brandt, Jörg

AU - Buchloh, Stefan

AU - Wintermantel, Erich

AU - Scharnweber, Dieter

AU - Worch, Hartmut

PY - 2000

Y1 - 2000

N2 - Nowadays, petroleum companies want to find some deposits to be explored in future years. To know the subsoil organization, Geophysicists try to interpret seismic images acquired by sending acoustic waves in 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 allows to solve 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.

AB - Nowadays, petroleum companies want to find some deposits to be explored in future years. To know the subsoil organization, Geophysicists try to interpret seismic images acquired by sending acoustic waves in 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 allows to solve 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.

UR - http://www.scopus.com/inward/record.url?scp=0033682761&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0033682761

VL - 1

SP - 360

EP - 364

JO - Conference Record - IEEE Instrumentation and Measurement Technology Conference

JF - Conference Record - IEEE Instrumentation and Measurement Technology Conference

ER -

Seismic image segmentation by fuzzy fusion of attributes

Abstract

Other files and links

Fingerprint

Cite this