摘要
基于支持向量机的监督分类方法以及目视解译等多种方法实现了开封城区不透水面的提取,并对提取方法和结果进行讨论。实验结果表明:①基于SVM的监督分类方法精度比较高,较适合开封主城区不透水面的提取;②开封市主城区北部和西部透水情况较好,南部和东部透水情况较差,开封市主城区建设呈现向西部和北部发展的态势;③开封市主城区建设过程中也注意到对于生态环境的保护,植被和水体等保持有一定的稳定性。同时这些实验也为不透水面遥感提取技术系统中方法的选择及政府相关部门提供了客观参考。
In this paper,we depicted impervious surface extraction of Kaifeng urban area based on Landsat-8 by means of several methods,such as the normalized building index(NDBI)method,the improved normalized building index(MNDBI)method,the supervised classification method based on SVM and visual interpretation,and analyzed the extraction results.The experimental results show that①the supervised classification method based on SVM has high accuracy and is suitable for the extraction of impervious surface in the main urban area of Kaifeng.②The water permeability in the north and west of the main urban area of Kaifeng City are better than in the south and east.The construction of the main urban area is developing towards the west and north.③During the construction of the main urban area of Kaifeng City,the protection of the ecological environment has also been noted,and the vegetation and water bodieshave been maintained certain stability.At the same time,this study can provide an objective reference for the selection of extraction methods in the impervious surface remote sensing extraction technology system and relevant government departments.
出处
《地理空间信息》
2019年第8期88-91,115,I0003,I0004,共7页
Geospatial Information
基金
河南省科技攻关项目（182102110065）
开封市重大科技专项项目资助（18ZD007）
