地质与勘探2017，Vol.53Issue(2)：325-333,9.
Landsat8 OLI图像增强与岩性识别方法
An Image Enhancement and Lithology Identification Method based on Landsat8 OLI Data
摘要
Abstract
The lithology is complex in the Bulunkou area,Aketao county,Xinjiang,where the altitude is high and the traffic conditions are poor.The research on information enhancement and lithology recognition using Landsat8OLI data has practical application demand as well as theoretical significance in identification of remote sensing lithology.Using the optimum index factor (OIF) band combination,PCA (principal component analysis) and ICA (independent principal component analysis) transform image enhancement cannot distinguish between different lithologic units completely because the spectral curves of lithologic units are similar in the research area.Based on the analysis of the lithologic unit vector characteristics after independent principal component transformation,we found that the difference enlargement between different lithologic unit characteristic vectors after ICA transform and the original image spectrum characteristic difference.In order to further expand the differences,ratio calculation was performed based on the statistics results of characteristic vectors,and the color composite image was built with PCA feature vectors and ratio images.In the composite images,identification of all lithologic units can be increased significantly,permitting to divide the rock units on the basis of the final synthesis image in the study area.The research shows that:(1) Combining a variety of image enhancement methods can separate different lithologic units.(2) The lithology units on both sides of the 314 Road in the east of the Sha lake that are classified as Bulunkuo lithology unit are not incorrect.We find that the lithology unit north of the 314 Road is still Bulunkuo rock unit,however,and that in the south of the road is gneissoid monzonitic granite.(3) The rock unit in the southeast of the Shahu lake that was classified as silurian can be decomposed into silurian strata and proterozoic bulunkuo rocks.This method can be applied to a broader range and deserves further research.关键词
Landsat8/岩性识别/图像增强/岩性波谱Key words
Landsat8/lithology identification/image enhancement/rock spectrum分类
天文与地球科学引用本文复制引用
张翠芬,郝利娜,王元俭,张志..Landsat8 OLI图像增强与岩性识别方法[J].地质与勘探,2017,53(2):325-333,9.基金项目
红石山中部高空间分辨率遥感地质信息提取(DD2016006812)、全国统计科学研究计划(2012LY022)、山东高等学校科技计划项目(J15LN11)、山东高等学校科技计划项目(J12LN42)、山东省自然科学基金项目(ZR2012DL01)和四川省教育厅重点项目(16ZA0090)联合资助. （DD2016006812）
