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Optimisation of building detection in satellite images by combining multispectral classification and texture filtering

Zhang, Yun (1999) Optimisation of building detection in satellite images by combining multispectral classification and texture filtering. ISPRS Journal of Photogrammetry and Remote Sensing, 54, pp. 50-60.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/17864/
Document Type:Article
Additional Information: LIDO-Berichtsjahr=1999,
Title:Optimisation of building detection in satellite images by combining multispectral classification and texture filtering
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Zhang, YunUNSPECIFIEDUNSPECIFIED
Date:1999
Journal or Publication Title:ISPRS Journal of Photogrammetry and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:54
Page Range:pp. 50-60
Status:Published
Keywords:building detection, satellite images, multispectral classification, co-occurence matrix based filtering
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EW - Erforschung des Weltraums
DLR - Research area:Space
DLR - Program:W EW - Erforschung des Weltraums
DLR - Research theme (Project):UNSPECIFIED
Location: Berlin-Adlershof
Institutes and Institutions:Institut für Weltraumsensorik und Planetenerkundung
Deposited By: DLR-Beauftragter, elib
Deposited On:16 Sep 2005
Last Modified:14 Jan 2010 18:24

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