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城市化的快速发展导致不透水表面大大增加,降低了城市的生态功能和水文调节能力。不透水面作为海绵城市建设的重要指导指标,其提取和制图对海绵城市建设的规划和分析十分重要。基于鹤壁市海绵城市建设项目的需要,选取2011年Landsat TM遥感影像,采用BP神经网络分类法,对鹤壁市淇滨区的不透水面进行了分类提取。通过对1∶1 000地形图的转换得到了地面验证数据,对不透水面的提取结果进行了验证,得到不透水面提取的总体精度为79.82%,Kappa系数为0.65。
Rapid urbanization has led to a substantial increase in the impermeable surface, reducing the city’s ecological functions and hydrological regulation. Impervious to water as an important indicator of sponge city construction, its extraction and mapping of sponge city planning and analysis is very important. Based on the needs of sponge city construction project in Hebi City, 2011 Landsat TM remote sensing image was selected, and the BP neural network classification method was used to classify the impervious surface of Qibin District in Hebi City. The surface validation data were obtained through the conversion of 1: 1,000 topographic maps, and the results of the impervious surface were validated. The overall accuracy of impervious surface extraction was 79.82% and the Kappa coefficient was 0.65.