Hierarchical gauss markov segmentation of SAR images using fourier domain

Sedef Kent; Ibrahim Papila; Mesut Kartal

Hierarchical gauss markov segmentation of SAR images using fourier domain

Sedef Kent
, Ibrahim Papila
, Mesut Kartal

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Supervised texture segmentation of multiscale image is introduced here in hidden Markov tree model using Fourier-domain. The essence of this tree-structured probabilistic graph is based on capturing the statistical properties of the fourier transforms and also the intrinsic characters of textural regions of any multispectral image.

Original language	English
Title of host publication	EUSAR 2008 - 7th European Conference on Synthetic Aperture Radar
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9783800730841
Publication status	Published - 2008
Event	7th European Conference on Synthetic Aperture Radar, EUSAR 2008 - Friedrichshafen, Germany Duration: 2 Jun 2008 → 5 Jun 2008

Publication series

Name	Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Volume	1-4
ISSN (Print)	2197-4403

Conference

Conference	7th European Conference on Synthetic Aperture Radar, EUSAR 2008
Country/Territory	Germany
City	Friedrichshafen
Period	2/06/08 → 5/06/08

Bibliographical note

Publisher Copyright:
© 2008 VDE VERLAG GMBH.

Cite this

@inproceedings{27dc19da62b145deacdac2e205cd24cd,

title = "Hierarchical gauss markov segmentation of SAR images using fourier domain",

abstract = "Supervised texture segmentation of multiscale image is introduced here in hidden Markov tree model using Fourier-domain. The essence of this tree-structured probabilistic graph is based on capturing the statistical properties of the fourier transforms and also the intrinsic characters of textural regions of any multispectral image.",

author = "Sedef Kent and Ibrahim Papila and Mesut Kartal",

note = "Publisher Copyright: {\textcopyright} 2008 VDE VERLAG GMBH.; 7th European Conference on Synthetic Aperture Radar, EUSAR 2008 ; Conference date: 02-06-2008 Through 05-06-2008",

year = "2008",

language = "English",

series = "Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR",

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

booktitle = "EUSAR 2008 - 7th European Conference on Synthetic Aperture Radar",

address = "United States",

}

Kent, S, Papila, I & Kartal, M 2008, Hierarchical gauss markov segmentation of SAR images using fourier domain. in EUSAR 2008 - 7th European Conference on Synthetic Aperture Radar. Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, vol. 1-4, Institute of Electrical and Electronics Engineers Inc., 7th European Conference on Synthetic Aperture Radar, EUSAR 2008, Friedrichshafen, Germany, 2/06/08.

Hierarchical gauss markov segmentation of SAR images using fourier domain. / Kent, Sedef; Papila, Ibrahim; Kartal, Mesut.
EUSAR 2008 - 7th European Conference on Synthetic Aperture Radar. Institute of Electrical and Electronics Engineers Inc., 2008. (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Vol. 1-4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hierarchical gauss markov segmentation of SAR images using fourier domain

AU - Kent, Sedef

AU - Papila, Ibrahim

AU - Kartal, Mesut

PY - 2008

Y1 - 2008

N2 - Supervised texture segmentation of multiscale image is introduced here in hidden Markov tree model using Fourier-domain. The essence of this tree-structured probabilistic graph is based on capturing the statistical properties of the fourier transforms and also the intrinsic characters of textural regions of any multispectral image.

AB - Supervised texture segmentation of multiscale image is introduced here in hidden Markov tree model using Fourier-domain. The essence of this tree-structured probabilistic graph is based on capturing the statistical properties of the fourier transforms and also the intrinsic characters of textural regions of any multispectral image.

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M3 - Conference contribution

AN - SCOPUS:85086766096

T3 - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

BT - EUSAR 2008 - 7th European Conference on Synthetic Aperture Radar

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th European Conference on Synthetic Aperture Radar, EUSAR 2008

Y2 - 2 June 2008 through 5 June 2008

ER -

Hierarchical gauss markov segmentation of SAR images using fourier domain

Abstract

Publication series

Conference

Bibliographical note

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Cite this