dc.contributor.authorLiu, Boen_US
dc.date.accessioned2008-09-17T09:01:01Z
dc.date.accessioned2017-07-23T08:28:14Z
dc.date.available2008-09-17T09:01:01Z
dc.date.available2017-07-23T08:28:14Z
dc.date.copyright2005en_US
dc.date.issued2005
dc.identifier.citationLiu, B. (2005). Ground cover classification of satellite imagery on parallel architectures. Master’s thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/2364
dc.description.abstractIn this thesis, a detailed review is performed on some existed unsupervised classification algorithms, such as k-means, fuzzy k-means, ISODATA, Improved Splitting and Merging Clustering (ISMC) algorithm, and Mean-Shift algorithm. In particular, the ISMC algorithm and the Mean-Shift algorithm are analysed carefully here.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
dc.titleGround cover classification of satellite imagery on parallel architecturesen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorTimo Rolf Bretschneideren_US
dc.description.degreeMASTER OF ENGINEERING (SCE)en_US


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