有色金属矿区土壤铬污染遥感反演研究  

Research on remote sensing retrieval of soil chromium pollution in nonferrous metal mining area

作　　者：陈宇波 薛云[2,3] 邹滨 文益民[4] 周松林[3] CHEN Yubo;XUE Yun;ZOU Bin;WEN Yimin;ZHOU Songlin(College of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education,School of Geosciences and Info-physics,Central South University,Changsha 410083,China;School of Municipal and Surveying Engineering,Planning,Architectural Design and Research Institute,Hunan City University,Yiyang 413000,China;School of Computer Science and Information Security,Guilin University of Electronic Technology,Guilin 541004,China)

机构地区：[1]南京邮电大学电子与光学工程学院,江苏南京210023 [2]中南大学有色金属成矿预测与地质环境监测教育部重点实验室,地球科学与信息物理学院,湖南长沙410083 [3]湖南城市学院市政与测绘工程学院规划建筑设计研究院,湖南益阳413000 [4]桂林电子科技大学计算机科学与信息安全学院,广西桂林541004

出　　处：《中南大学学报（自然科学版）》2020年第10期2876-2884,共9页Journal of Central South University:Science and Technology

基　　金：有色金属成矿预测与地质环境监测教育部重点实验室(中南大学)开放基金资助项目(2020YSJS12);湖南省科技厅项目(2019TP2079,2019SK2112,2017SK2271)。

摘　　要：构建光谱转换模型,消除环境因素导致的土壤光谱差异;通过波段反射率的比值,加强地物之间的对比度,弱化背景而突出地物信息;建立不同预处理光谱类型(3类光谱)的不同遥感反演特征因子(3种遥感反演特征因子)逐步回归模型(共9个模型),对铬污染进行遥感反演研究。研究结果表明:野外光谱受环境影响大,实验室光谱受环境影响小;DS(direct standardization)光谱对消除环境条件影响、提升光谱信号质量有一定的作用;实验室光谱的遥感反演建模精度明显比野外光谱的遥感反演建模精度高,说明实验室光谱受环境影响小,具有更高的建模精度;组合因子在各类光谱的遥感反演特征因子中建模精度最高,其中,实验室光谱的组合因子的建模效果最好,说明波段反射率的比值对消除背景影响、提高建模精度有一定的作用。A spectral conversion model to eliminate soil spectral differences caused by environmental conditions was built, and the contrast between features was enhanced by enhancing the ratio, weakening the background and highlighting the feature information. A stepwise regression model(a total of 9 models) of different remote sensing information characteristic factors(3 factors) with different pretreatment spectrum types(3 types of spectra) was established to conduct a remote sensing retrirval research on chromium pollution. The results show that the field spectrum is greatly affected by the environment,the lab spectrum is less affected by the environment, and the DS(direct standardization) spectrum has a certain effect on eliminating the influence of environmental conditions and improving the quality of the spectral data. The precision of remote sensing information modeling of the laboratory spectrum is significantly higher than that of the field spectrum, indicating that the laboratory spectrum is less affected by the environment and has higher modeling accuracy. The strongly correlated combination factor has the highest modeling accuracy among all kinds of spectrum remote sensing information feature factors, and the laboratory spectrum strongly correlated combination factor has the best remote sensing information modeling effect, which indicates that the band ratio has a certain effect on eliminating the influence of background and improving modeling accuracy.

关 键 词：铬质量分数 高光谱遥感 逐步回归 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]