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Classification of full polarimetric SAR data using artificial neural networks and fuzzy algorithms

Hellmann, M. and Jäger, G. and Krätzschmar, E. and Habermeyer, M. (1999) Classification of full polarimetric SAR data using artificial neural networks and fuzzy algorithms. In: IGARSS '99 Proceedings, pp. 1995-1997. IGARSS '99, Hamburg, 28.06.-02.07.1999.

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Abstract

In this paper we outline a classification based on the Entropy (H)-alpha decomposition Theorem extended by the use of the first eigenvalue of the coherency matrix. Fuzzy algorithms as well as Artificial Neural Networks (ANN) strategies are applied to improve the classification accuracy and to enhance the handling. The algorithms are applied to a L-band data set of the test site Oberpfaffenhofen, Germany, acquired with DLR’s airborne Experimental SAR (E-SAR) in April 1997. The classification results are discussed and compared to reference data i.e. topographic maps in the scale 1:25000 (maps 7833 and 7933) and airborne optical data acquired with a ZEISS RMK A30/23 camera in August 1997.

Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2000,
Title:Classification of full polarimetric SAR data using artificial neural networks and fuzzy algorithms
Authors:
AuthorsInstitution or Email of Authors
Hellmann, M.UNSPECIFIED
Jäger, G.UNSPECIFIED
Krätzschmar, E.UNSPECIFIED
Habermeyer, M.UNSPECIFIED
Date:1999
Journal or Publication Title:IGARSS '99 Proceedings
Page Range:pp. 1995-1997
Status:Published
Keywords:classification, fuzzy logic, neural networks
Event Title:IGARSS '99, Hamburg, 28.06.-02.07.1999
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:Microwaves and Radar Institute
Deposited By: Jens Fischer
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 19:34

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