Lithological Classification Based on ASTER Data by Minimum Noise Fraction Transform
详细信息
- 责任者：Gao Hui (Chengdu Center of China Geological Survey ; Chengdu 610081 ; China) ; Zhang Jianlong
- 刊名：Journal of Guilin University of Technology
- 出版年：2013
- 卷期：33(2)
- 关键词：遥感 ; remote sensing ; 噪声 ; noise ; 西藏 ; Tibet
- 页码：p.259-265
- 图表：illus., 4 tables, 11 refs.
- 分类号：1600
- issnNo：ISSN1674-9057
- isbnNo：CN45-1375/N
摘要
In lithology classification there are not obvious rules from the shape to size.There is no clear dividing line between different lithologies,difficult than land classification by remote sensing data.Lithology classifcation results ars not effective by ordinary supervised classification methods.Our survey uses ASTER multispectral data to summarize a set of technical processes about lithological classification based on the minimum noise fraction transform.According to the geometry vertex of 2D scatter plot chart to extract the lithological classification of samples,spectral angle mapper is used at Fuye iron located in Rutog County of Tibet,in post-processing by median filtering on the classification results.The classification results are in good agreement with the actual situation,and the overall classification accuracy reaches 83.33%.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |