城区重度污染水体遥感识别研究

Remote Sensing Identification of Heavily Polluted Water in Urban Areas

城市污染水体整治对城市良好水环境具有重大意义。本文基于污染水体形成机理,构建污染水体遥感识别模型,实现了城市污染水体快速、高效、大范围的提取。本文以银川市为研究区,开展银川市污染水体遥感识别,并进行实地验证。验证结果表明污染水体遥感识别精度可达62.96%,共确定银川市污染水体12条,为银川市污染水体整治工作提供参考。此外,本文还分析了影响识别精度的原因,以提高后续污染水体遥感识别精度。由于遥感识别污染水体尚属首次,因此识别精度一般。在今后研究工作中,将会加入其他指标继续研究,以提高精度。

The remediation of polluted water is of great significance to the good water environment of the city. Based on the formation mechanism of polluted water,the remote sensing identification model of polluted water bodies is constructed,and the rapid and efficient extraction of polluted water bodies is realized. This paper takes Yinchuan city as the study area to carry out the remote sensing identification of Yinchuan polluted water and field validation.The verification results show that the remote sensing identification accuracy of polluted water can reach 62.96%,which can be used to identify twelve polluted waters in Yinchuan City,which will provide references for the remediation of polluted water in Yinchuan.In order to improve the remote sensing accuracy of polluted water recognition,we also analyzed the reasons that affect the accuracy in this paper.Since it is the first time for the remote sensing to identify polluted water,the identification accuracy is not high.After the research work,we will continue to study other indicators to improve the accuracy.