Impervious Surface Extraction with Very High Resolution Imagery in Urban Area:Reducing Tree Obscuring Effect

       2012年遥感计算器视觉国际会议——Impervious surface is an important factor for evaluating the process of urbanization and its rate. In urban areas, there are a large number of street trees obscuring impervious surface, which will cause underestimation of impervious surface if it is directly extracted by classification of remotely sensed imagery. In order to solve this problem, this paper presented an approach to reduce the impact caused by street trees. The method combined very high resolution (VHR) image and urban street map. Experiments were conducted using a VHR multispectral QuickBird image acquired in Nanjing, Jiangsu Province, China. First, a multiscale and multilevel segmentation method was used to conduct dark channel prior and a common haze imaging model. To eliminate artifacts, we use a low-pass Gaussian filter to refine the coarse estimated atmospheric veil. The experimental results show that our approach achieves good results with very little processing time.