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dc.contributor.authorMarpu, Prashanth Reddy
dc.date.accessioned2010-10-12T19:27:54Z
dc.date.available2010-10-12T19:27:54Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/11858/00-1735-0000-0001-3181-D
dc.description.abstractThe field of earth observation (EO) has seen tremendous development over recent time owing to the increasing quality of the sensor technology and the increasing number of operational satellites launched by several space organizations and companies around the world. Traditionally, the satellite data is analyzed by only considering the spectral characteristics measured at a pixel. The spatial relations and context were often ignored. With the advent of very high resolution satellite sensors providing a spatial resolution of ≤ 5m, the shortfalls of traditional pixel-based image processing techniques became evident. The need to identify new methods then led to focusing on the so called object-based image analysis (OBIA) methodologies. Unlike the pixel-based methods, the object-based methods which are based on segmenting the image into homogeneous regions use the shape, texture and context associated with the patterns thus providing an improved basis for image analysis ...
dc.format.extent135 S.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherUniv. Freiberg (Sachsen)
dc.rights.urihttp://e-docs.geo-leo.de/rights
dc.subject.ddc550.28
dc.subject.gokTQI 000
dc.subject.gokVBJ 000
dc.titleGeographic object based image analysis
dc.typemonograph
dc.subject.gokverbalGeophysikalische Satellitenfernerkundung
dc.subject.gokverbalSatellitenbildgeologie
dc.identifier.doi10.23689/fidgeo-249
dc.identifier.ppn606107126
dc.type.versionpublishedVersion
dc.relation.collectionGeophysik
dc.description.typethesis


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