基于光谱曲线特征的内河航运环境污染遥感监测方法

Remote Sensing Monitoring Method for Environmental Pollution in Inland River Shipping Based on Spectral Curve Characteristics

由于传统内河航运环境污染监测方法存在监测精度较低、监测效果差等问题,故研究提出并设计了一种基于光谱曲线特征的内河航运环境污染遥感监测方法:先提取了内河航运环境遥感数据源,保证监测数据的质量,然后基于光谱曲线特征进行了航运环境污染数据分析,确定环境污染状态,最后构建了内河航运的环境异构数据监测模型,以实现环境污染遥感监测。对比实验结果表明:所提方法的监测精度更高,可控制在0.005以内,监测效果优于对比方法,极具推广价值。

Due to the problems of low monitoring accuracy and poor monitoring effectiveness of traditional inland navigation environmental pollution monitoring methods,in this study,this paper proposes and designs a remote sensing monitoring method for environmental pollution in inland navigation based on spectral curve characteristics.Firstly,remote sensing data sources for inland navigation environment are extracted to ensure the quality of monitoring data;Then the shipping environmental pollution data is analyzed based on the spectral curve characteristics to determine the environmental pollution status;Finally,an environmental heterogeneous data monitoring model for inland navigation is constructed to achieve remote sensing monitoring of environmental pollution.The results of comparative experiments show that the proposed verification method has a higher monitoring accuracy,which can be controlled within 0.005.The monitoring effect is better than that of the comparison method,and has great promotion value.