Optimization Of Multi-Channel SAR Data Classification Using Genetic Algorithms

Habermeyer, M. (1999) Optimization Of Multi-Channel SAR Data Classification Using Genetic Algorithms. In: IEEE 19999 International Geoscience and Remote Sensing Symposium, Vol. I, pp. 122-124. IGARSS, 1999, Hamburg. ISBN 0-7803-5207-6.

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Abstract

A maximum-likelihood classification of SAR images by textural information provided by parameters extracted from the co-occurrence matrix is optimized with genetic algorithms.

Item URL in elib:

https://elib.dlr.de/8499/

Document Type:

Conference or Workshop Item (Paper)

Additional Information:

LIDO-Berichtsjahr=1999,

Title:

Optimization Of Multi-Channel SAR Data Classification Using Genetic Algorithms

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Habermeyer, M.	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

1999

Journal or Publication Title:

IEEE 19999 International Geoscience and Remote Sensing Symposium

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Volume:

Vol. I

Page Range:

pp. 122-124

Editors:

Editors	Email	Editor's ORCID iD	ORCID Put Code
Stein, Tammy I.	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

ISBN:

0-7803-5207-6

Status:

Published

Keywords:

genetic algoritms, optimization, texture, SAR, co-occurrence matrix, Haralick parameters

Event Title:

IGARSS, 1999, Hamburg

Organizer:

IEEE

HGF - Research field:

Aeronautics, Space and Transport (old)

HGF - Program:

Space (old)

HGF - Program Themes:

W EO - Erdbeobachtung

DLR - Research area:

Space

DLR - Program:

W EO - Erdbeobachtung

DLR - Research theme (Project):

UNSPECIFIED

Location:

Oberpfaffenhofen

Institutes and Institutions:

Institut für Hochfrequenztechnik

Deposited By:

DLR-Beauftragter, elib

Deposited On:

16 Sep 2005

Last Modified:

06 Jan 2010 22:51

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