基于植被抑制法的植被覆盖区多光谱遥感岩性分类

植被的发育限制了遥感在地质学方面的应用, 在植被覆盖区进行岩石填图, 首先要考虑去除植被干扰影响.以内蒙古东乌旗地区为例, 选择先进星载热发射和反射辐射仪(advanced spaceborne thermal emission and reflection radiometer, ASTER)数据, 分别计算研究区内含土壤因子植被指数和不含土壤因子的植被指数, 并对两类不同的植被指数进行主成分分析, 挑选出植被信息被抑制和岩石-土壤信息突出的主成分进行岩性分类, 和利用最大似然法的分类结果进行对比分析, 评价两种方法的岩性分类性能, 植被抑制法的总体分类正确率为82.946 8%, 最大似然法的总体分类正确率为76.364 3%.结果说明在植被覆盖区, 利用植被指数来抑制植被信息是可行的, 和常规分类方法中的最大似然法相比, 大大提高解译的准确性. 

Remote Sensing Lithologic Classification of Multispectral Data Based on the Vegetation Inhibition Method in the Vegetation Coverage Area

It is the top priority for rock mapping in the vegetation coverage area to eliminate the vegetation interference effect since the growth of vegetation limits the application of remote sensing in geology. Taking Dong Ujimqin Banner of Inner Mongolia as the study area, this paper compares vegetation inhibition method and maximum likelihood method in lithologic classification. Firstly, ASTER (advanced spaceborne thermal emission and reflection radiometer) data are chosen for vegetation index calculation with the soil factor and the vegetation index without the soil factor for principal component analysis respectively in the study area. Then, the principal component which shows the vegetation information is suppressed for lithologic classification. Furthermore, a comparative analysis is conducted and the lithology classification performance of the two methods is evaluated. It is found that the overall classification precision of the vegetation inhibition method reaches 82.946 8%, while that of the maximum likelihood classification reaches 76.364 3%. It shows that it is feasible to use the vegetation index to suppress the vegetation information in the vegetation coverage area. Compared with the conventional classification method of maximum likelihood method, the vegetation inhibition method greatly improves the accuracy of interpretation.