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| Land cover information extraction based on ALOSimage by object-oriented method |
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| Abstract: |
| According to the high resolution remote sensing image data， this paper used the object-oriented
classification method to extract the land cover information of Nanjing city. Because the classification unit was not single
pixel but image objects， which integrated the spectral information， texture feature， topological relationship and thematic
information， the overall accuracy of classification enhanced by 18.1% compared to conventional method. The object-
oriented method also overcame the pepper salt phenomenon which occurred in conventional method， and reduced the
negative effects of foreign bodies with spectrum and different object with the same spectra characteristics. For the land
cover information extraction and updating using high resolution remote sensing image， this method had practicable and
generalization performance. |
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