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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

Full text not available from this repository.

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:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Habermeyer, M.UNSPECIFIEDUNSPECIFIED
Date:1999
Journal or Publication Title:IEEE 19999 International Geoscience and Remote Sensing Symposium
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:Vol. I
Page Range:pp. 122-124
Editors:
EditorsEmail
Stein, Tammy I.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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