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Detection of urban areas in multispectral data

 
: Böhmsdorf, S.; Bers, K.-H.; Brehm, T.; Essen, H.; Jäger, K.

:
Postprint urn:nbn:de:0011-n-1038022 (496 KByte PDF)
MD5 Fingerprint: 30bcca7c0dca28a1a93c4764040ee9de
© 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 1.10.2009


Bucciarelli, T. ; IEEE Geoscience and Remote Sensing Society; International Society for Photogrammetry and Remote Sensing -ISPRS-; European Space Agency -ESA-, Paris:
IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas 2001 : Rome, 8 - 9 November 2001, University of Rome "La Sapienza"
Piscataway/NJ: IEEE, 2001
ISBN: 0-7803-7059-7
S.100-104
Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (URBAN) <2001, Roma>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOM ( IOSB)

Abstract
During various campaigns, multispectral data have been gathered with airborne sensors over typical urban environments. For each of these scenes passive IR-systems, as well as laser-scanners, mm-wave radars under different operating modes, forward-looking with beam scanning antennas, side-looking SAR and interferometric SAR for 3D-imaging, have been employed. For these sample scenarios advanced image based pattern recognition algorithms have been validated and the features of each sensor have been studied to allow to choose the optimum sensor combination for a specific application. The contribution describes the different sensors and gives an overview over the image material for the sample scenes. Methods of image discrimination for the urban environment are discussed.

: http://publica.fraunhofer.de/dokumente/N-103802.html