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The Classification Of Remote Sensing Image Based On Rough Sets And C4.5 Algorithm

Posted on:2009-10-24Degree:MasterType:Thesis
Country:ChinaCandidate:W X ShiFull Text:PDF
GTID:2120360245985168Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
The Application of GIS enhances the data extraction and analysis ability of remote sensing images, and the information extraction and classification of remote sensing image is the most important source of information in the land resources application of GIS. However, how to distinguish kinds of Images and meet the accuracy to a certain extent is a key problem in remote sensing image research, which takes on very important significance.The paper takes a small plot in the outskirts of Fuzhou with complicated land use in Fujian Province as study area. The classification rules are discovered from the training samples of the spatial database based on C4.5 algorithm, Rough Sets and both with together, which integrate spectral characteristics, texture characteristics and terrain features of remote sensing image to build a multi-source spatial database. And the classification tests are carried out based on the rules. The traditional maximum likelihood classification is also compared to check the classification accuracies. The results have suggested that the accuracy of classification based on knowledge is markedly higher than the traditional maximum likelihood classification. The combination of Rough Sets and C4.5 algorithm is the best, which can make up for the shorts based on Rough Sets or C4.5 algorithm to a different extent. So the classification method based on multi-algorithm, which can take a good advantage of kinds of classification algorithm and make up for the shorts respectively, is a good way to promote the wide application of the classification methods of remote sensing image based on knowledge in land use classification.
Keywords/Search Tags:Remote Sensing Image Classification, Spatial Data Mining and Knowledge Discovery, decision tree C4.5 algorithm, Rough Sets theory
PDF Full Text Request
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