摘要
为实时监测土壤有机污染,提出基于无人机遥感测绘技术的土壤有机污染监测方法。设计无人机遥感测绘装置,获取监测区域土壤光谱数据,应用小波变换算法去除土壤光谱数据的噪声信息,采用惩罚最小二乘法去除土壤光谱本底信息,通过LAR算法选择与提取光谱数据特征变量,衡量其与已知有机污染物质光谱特征变量的相似程度,判定监测区域土壤是否存在有机污染,并确定有机污染物质种类。实验数据显示:应用提出方法获得的监测区域土壤有机污染判定结果与实际结果保持一致,土壤有机污染物质监测因子最大值为0.98。
In order to monitor soil organic pollution in real time,a soil organic pollution monitoring method based on remote sensing mapping technology of UAV was proposed.The remote sensing mapping device of UAV was designed to obtain the soil spectral data of the monitoring area.The noise information of the soil spectral data was removed by the wavelet transform algorithm.The soil spectral background information was removed by the punitive least square method,and the characteristic variables of the spectral data were selected and extracted by the LAR algorithm to measure the similarity between them and the spectral characteristic variables of known organic pollutants.The study aimed to determine whether there is organic pollution in the soil of the monitoring area as well as to determine the types of organic pollution substances.The experimental data show that the results of soil organic pollution in the monitoring area obtained by the proposed method are consistent with the actual results.The maximum value of soil organic pollution monitoring factor is 0.98.
作者
冯健
Feng Jian(Comprehensive Geological Survey Team of Xinjiang Uygur Autonomous Region Coalfield Geological Bureau,Urumqi 830000,China)
出处
《环境科学与管理》
CAS
2024年第4期128-132,共5页
Environmental Science and Management
关键词
土壤遥感图像
污染监测
特征提取
无人机遥感测绘技术
有机污染
soil remote sensing images
pollution monitoring
feature extraction
unmanned aerial vehicle remote sensing surveying and mapping technology
organic pollution