云南水力发电2025，Vol.41Issue(3)：22-24,3.DOI:10.3969/j.issn.1006-3951.2025.03.006
基于支持向量机的某平原河网水质遥感反演研究
Research on Remote Sensing Inversion of Water Quality in a Plain River Network Based on Support Vector Machine
张昂 1张艳军2
作者信息
- 1. 中国电建集团中南勘测设计研究院有限公司,湖南 长沙 410014
- 2. 武汉大学水利水电学院,湖北 武汉 430072
- 折叠
摘要
Abstract
A support vector machine model for water quality inversion in a certain plain was established using WorldView-Ⅱ remote sensing images and limited quasi synchronous field monitoring data,combined with the spectral characteristics of water components.The concentrations of dissolved oxygen(DO),ammonia nitrogen(NH3-N),total phosphorus(TP),total nitrogen(TN),and total organic carbon(TOC)were inverted through remote sensing images,with high inversion accuracy and relative errors below 20％.At the same time,the sources of support vector machine model errors and improvement measures were analyzed.The model was applied to the plain river network water body on December 20,2008,and the results objectively reflected the spatial distribution of water quality parameters,indicating the feasibility and application prospects of using remote sensing images for urban inland water quality monitoring.关键词
WorldView-Ⅱ遥感影像/水质反演/支持向量机模型Key words
WorldView-Ⅱ remote sensing imagery/water quality inversion/support vector machine model分类
建筑与水利引用本文复制引用
张昂,张艳军..基于支持向量机的某平原河网水质遥感反演研究[J].云南水力发电,2025,41(3):22-24,3.
