高光谱成像砖红壤中石油烃含量的可视化研究

Visualization of Petroleum Hydrocarbon Content in Latosol Based on Hyperspectral Imaging Technology

高光谱成像具有快速无损和图谱合一的特点,每个波段都会呈现一幅图像,每个像素点都显示一条光谱曲线,不仅可以获取样本的光谱信息,还可以表征物体的空间信息,目前在诸多领域展现出极大的应用价值。采用高光谱成像实现土壤中石油烃含量分布的可视化。制备不同石油烃含量的砖红壤样本,分为建模样本和预测样本。采集高光谱图像,为避免图像背景的干扰,采用掩膜的方法进行背景剔除。之后提取建模样本中感兴趣区域的平均光谱,采用连续投影算法筛选特征变量,基于提取的特征变量,一方面建立MLR预测模型,另一方面从预测样本中提取特征波段的高光谱图像。最后,将特征图像上像素点的数据代入模型,得到石油烃的含量分布情况。通过图像处理的方法,不同的含量赋予不同的颜色,实现砖红壤中石油烃含量分布的可视化。研究结果表明,采用高光谱成像与图像处理方法能够初步实现砖红壤中石油烃含量分布的可视化,为以后大范围地识别和反演土壤中石油烃含量提供了基础。

Hyperspectral imaging technology is a rapid andnondestructive technique,which has the characteristic of combining the image and spectra,each band will represent an image,each pixel displays a spectra.Hyperpectral image can not only obtain spectral information of the samples,but also spatial information of objects representation,having great value in many field at present.In this paper,hyperspectral imaging technology is used to visualize the distribution of petroleum hydrocarbons in soil.A sample of latosol samples with different petroleum hydrocarbons content was prepared and divided into modeling samples and prediction samples.Hyperspectral images were collected.Inorder to avoid the interference of image background,the mask was used to eliminate the background.After extracting the average spectral region of interest modeling in the sample,the successive projection algorithm select characteristicsvariables.Based on the extracted feature variables,on one hand,a MLR prediction modelis established,On the other hand,the characteristics of hyperspectralimage are extracted from the prediction sample.Finally,the data of the pixel on the characteristic image is substituted into the model to obtain the content distribution of the petroleum hydrocarbon.Through the method of image processing,the different contents are given different colors to realize the visualizationof the distribution of petroleum hydrocarbon content in latosol.The research results show that using hyperspectral imaging technique and image processing method can realize the visualization of the distribution of petroleum hydrocarbon content in latosol,providing the basis for petroleum hydrocarbon content identification and inversion of soil in large scale.