关键词: TerraSAR-X, 区域生长, Landsat, 城镇用地, 城市扩张

Abstract: Urbanization has been an important social and economic phenomenon taking place in an unprecedented scale and rate all over the world. But the uncontrollable urbanization has negative impacts on the society, ecology, and economy. Therefore, it is of great importance to detect urban area in order to prevent these negative consequences. In this paper, the method detecting Built-up Areas（BAs） based on single-polarized TerraSAR-X images is improved and perfected, and combines ancillary optical satellite images to identify urban area of Changzhou City. The approach starts from the existing method that involves analysis of the local speckle characteristics and intensity information to monitor spatial extent of the built-up area and non-built-up area. Then the maximum likelihood method and post-classification are used to extract the demolition area within cities based on the Landsat8 image. The final extraction of urban area includes the above built-up area and demolitionarea. In the end of this study, it uses remote sensing images from Google Earth to generate confusion matrix to evaluate the accuracy of extraction of urban area. The results show that the overall classification accuracy is about 89%, indicating that this method is feasible.

Key words: TerraSAR-X, regional growing, Landsat, urban area, urban sprawling