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Classification of Vegetation Fusing Multichannel SAR Data by a Fuzzy Approach

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dc.contributor.authorThiele, Antje
dc.contributor.authorSchulz, Karsten
dc.contributor.authorThoennessen, Ulrich
dc.contributor.authorCadario, Erich
dc.contributor.editorHerzog, Otthein
dc.contributor.editorRödiger, Karl-Heinz
dc.contributor.editorRonthaler, Marc
dc.contributor.editorKoschke, Rainer
dc.date.accessioned2019-05-15T09:04:50Z
dc.date.available2019-05-15T09:04:50Z
dc.date.issued2007
dc.description.abstractThe improved spatial resolution of modern SAR sensors allows the distinction of significant areas in rural as well as in urban environments. For this purpose additional information layers such as coherence and Coefficient of Variation are derived from a single pass InSAR data set and a classification is performed by means of the commercial software tool Definiens Professional. The focus is on a distinction between typical SAR backscatter. The resultant classes are compared with classification results in an optical image to derive the relation of these SAR-classes to vegetation areas with different natural cover.en
dc.identifier.isbn978-3-88579-206-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22469
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofInformatik 2007 – Informatik trifft Logistik – Band 2
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-110
dc.titleClassification of Vegetation Fusing Multichannel SAR Data by a Fuzzy Approachen
dc.typeText/Conference Paper
gi.citation.endPage149
gi.citation.publisherPlaceBonn
gi.citation.startPage145
gi.conference.date24.-27. September 2007
gi.conference.locationBremen
gi.conference.sessiontitleRegular Research Papers

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P110 - INFORMATIK 2007 - Informatik trifft Logistik - Band 2