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Segmentation of Remotely Sensed Images Based on the Uncertainty of Multispectral Classification

Klein, U. and Sester, M. and Strunz, G. (1998) Segmentation of Remotely Sensed Images Based on the Uncertainty of Multispectral Classification. In: International Archives of Photogrammetry and Remote Sensing, 32, Part 4, pp. 299-305. ISPRS Commission IV Symposium, Stuttgart, 7.-10. Sept. 1998.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/40/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=1999,
Title:Segmentation of Remotely Sensed Images Based on the Uncertainty of Multispectral Classification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Klein, U.UNSPECIFIEDUNSPECIFIED
Sester, M.UNSPECIFIEDUNSPECIFIED
Strunz, G.UNSPECIFIEDUNSPECIFIED
Date:1998
Journal or Publication Title:International Archives of Photogrammetry and Remote Sensing
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:32, Part 4
Page Range:pp. 299-305
Status:Published
Event Title:ISPRS Commission IV Symposium, Stuttgart, 7.-10. Sept. 1998
Organizer:International Society of Photogrammetry and Remote Sensing
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:German Remote Sensing Data Center
Deposited By: Giegerich, Susan
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 11:47

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