摘要
单纯利用遥感图像进行矿物的识别有着一定的不确定性。利用Spectra Vista公司新式的SVC HR-768地物波谱仪对研究区内采集的岩石样品进行光谱测量的数据,能有效的提高遥感识别的精度。从岩石样品的光谱数据采集和处理出发,分析了日光条件采集数据存在的问题和人工光源采集的数据,通过对比分析,采用人工光源采集的数据简便可用,对矿物识别的结果良好。
There is some uncertainties to recognize minerals with RS images alone. With the help of the spectral data of the collected rock samples, which are measured by Spectra Vista＇s latest SVC HR-768 portable field spec- trometer, it can effectively improve the RS recognition accuracy. Starting with collecting and processing of the rock samples＇ spectral data, and then analyzing different data of the problem of daylight condition and the artifi- cial light condition, it comes to the conclusion that the data applied by artificial light is easy and good in mineral identification after the comparative analysis.
出处
《东华理工大学学报（自然科学版）》
CAS
2012年第2期155-159,共5页
Journal of East China University of Technology(Natural Science)
