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Development of an algorithm for the knowledge-based classification of multi-temporal SAR-images

Habermeyer, M. and Schmullius, C. (1997) Development of an algorithm for the knowledge-based classification of multi-temporal SAR-images. In: Radar-Processing, Technology and Applications II Proceedings of SPIE 3161, pp. 148-159. Vortrag, San Diego/USA, 28.07.97.

Full text not available from this repository.

Abstract

A new algorithm is introduced to overcome the disadvantages of a pixel-based classification by an object-based approach through the use of digital field boundaries. In this context a pixelwise approach is compared to a texturewise approach. Besides that a method is developed to incorporate prior knowledge into the classification process.

Item URL in elib:https://elib.dlr.de/33621/
Document Type:Conference or Workshop Item (Paper)
Additional Information: institution=William J. Micelli, SPIE, LIDO-Berichtsjahr=1998,
Title:Development of an algorithm for the knowledge-based classification of multi-temporal SAR-images
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Habermeyer, M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schmullius, C.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:1997
Journal or Publication Title:Radar-Processing, Technology and Applications II Proceedings of SPIE 3161
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 148-159
Status:Published
Keywords:Synthetic Aperture Radar, knowledge-based classification, texture, co-occurrenced-matrix, Shafer's Theory of Evidence, multinomial distribution, Mutual Information
Event Title:Vortrag, San Diego/USA, 28.07.97
HGF - Research field:UNSPECIFIED
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:UNSPECIFIED
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:02 Apr 2006
Last Modified:27 Apr 2009 09:11

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