Analysis of the Degree of Urban Impervious Surface based on Object-Oriented Method

Analysis of the degree of urban impervious surface can provide scientific information for urban-related issues. In this paper, we performed a classification of the degree of imperviousness in Miyun urban areas of China´s Beijing region based on object-oriented method with Landsat TM data in 2006. The approach mainly involved establishing an image object hierarchy consisting of three levels of different resolution. The three levels were: (1) a classified super-scale image object level by fusing a pre-classified thematic image objects, (2) a classified sub-scale image object level by multi-resolution segmentation in a very high resolution, and (3) a middle level of image objects by multi-resolution segmentation in a relative middle scale. We performed a final class-related classification in the middle level using the above super-scale and sub-scale information. After the classification completed, a thematic map of showing the degree of imperviousness in urban areas has been created.