Knowledge based interpretation of moorland in aerial images

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dc.identifier.uri http://dx.doi.org/10.15488/3447
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/3477
dc.contributor.author Pakzad, Kian
dc.contributor.author Heipke, Christian
dc.contributor.editor Remetey-Fülöpp, Gabor
dc.contributor.editor Clevers, Jan
dc.contributor.editor Beek, Klaas Jan
dc.date.accessioned 2018-06-08T12:22:32Z
dc.date.available 2018-06-08T12:22:32Z
dc.date.issued 2000
dc.identifier.citation Pakzad, K.; Heipke, C.: Knowledge based interpretation of moorland in aerial images. In: Remetey-Fülöpp, G.; Clevers, J.; Beek, K.J. (Eds.): XIXth ISPRS Congress. Technical Commission VII: Resource and Environmental Monitoring. London : International Society for Photogrammetry and Remote Sensing, 2000 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 33 Part B7), S. 1103-1110. https://www.isprs.org/proceedings/XXXIII/congress/part7/1103_XXXIII-part7.pdf
dc.description.abstract For the interpretation of remote sensing data the traditional methods such as multispectral classification are in many cases not sufficient. This applies especially to more complex scenes. In order to interpret such scenes it is necessary to include and use more prior knowledge about the depicted objects, e.g. knowledge about the possible object structure or, in a multitemporal interpretation, knowledge about the possible temporal changes. In this paper we present an approach for the automatic interpretation of moorland from aerial images. The first step is a monotemporal interpretation. We use a knowledge based system with an explicit knowledge representation through semantic nets. This system is suitable to formulate explicitly (i.e. in a standard language) prior knowledge and to use it for the interpretation. In our case we divided moorland into different relevant land use classes and described them in a semantic net. For every class we described the obligatory parts. Obligatory parts are features and structures, which have to be detected in the particular areas in order to assign them the corresponding class. Because in moorland areas monitoring of changes is very important we extended the monotemporal system to a multitemporal one. The multitemporal interpretation also exploits explicitly represented prior knowledge about the possible temporal changes. The results show that the presented approach is suitable for the interpretation of moorland. The exploited additional prior knowledge led to an improvement of the interpretation, especially for the multitemporal one. © 2000 International Society for Photogrammetry and Remote Sensing. All rights reserved. eng
dc.language.iso eng
dc.publisher London : International Society for Photogrammetry and Remote Sensing
dc.relation.ispartof XIXth ISPRS Congress. Technical Commission VII: Resource and Environmental Monitoring
dc.relation.ispartofseries The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 33 Part B7
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Change detection eng
dc.subject Knowledge representation eng
dc.subject Model-based processing eng
dc.subject Monitoring eng
dc.subject Multi-temporal eng
dc.subject Antennas eng
dc.subject Knowledge representation eng
dc.subject Land use eng
dc.subject Monitoring eng
dc.subject Remote sensing eng
dc.subject Semantics eng
dc.subject Change detection eng
dc.subject Explicit knowledge eng
dc.subject Model-based processing eng
dc.subject Multi-temporal eng
dc.subject Multispectral classification eng
dc.subject Object structure eng
dc.subject Remote sensing data eng
dc.subject Temporal change eng
dc.subject Knowledge based systems eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Knowledge based interpretation of moorland in aerial images
dc.type bookPart
dc.type conferenceObject
dc.type Text
dc.relation.essn 2194-9034
dc.relation.issn 1682-1750
dc.bibliographicCitation.volume 33
dc.bibliographicCitation.firstPage 1103
dc.bibliographicCitation.lastPage 1110
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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