摘要
选择Crosta和主成分分析方法对新疆青河、奇台、巴里坤一带进行矿化蚀变信息提取,以μ+1.64σ～μ+2σ、μ+2σ～μ+3σ及＞μ+3σ三级阈值分割遥感异常信息,并按不同色彩叠加于1︰20万或1︰5万化探数据与遥感数据融合的图像上,经综合分析和部分实地查证,提出青河小萨尔布拉克、科克玉依、喀拉套弧形构造、奇台北塔山牧场场部、乌伦布拉格以及巴里坤大红山及草湖沟等为重要找矿地段.
Based on lots of image processing tests and field inspection, the authors employed Crosta technique and the Principal Component Analysis using TM1 -7 （without TM6） to perform alteration mineral mapping in eastern Junggar, Xinjiang. Relevant images, e. g. , hydroxyl layer from TM1,4, 5 and 7 or iron oxide layer from TM1,3, 4 and 5, were classified by four thresholds, i. e. , μ＋1.64σ～μ＋2σ、p＋2σ～p＋3σand 〉μ＋ 3σ. The last three groups, treated as remote sensing anomalies and assigned to different colors, were used to overlie the false color composites that were combined with geochemical surveying data （at the scale of 1 ： 200,000 or 50,000） in grid form through data fusion. The ore prospecting work in eastern Junggar was shed light on by synthetic analyses based on the multi - information images and field work. The ore exploration targets delineated by this study include Xiaosaerbulake and Kekeyuyi in Qinghe County, Beitashan pasture and Wulunbulage in Qitai County, and Dahongshan and Caohugou in Balikun County.
出处
《国土资源遥感》
CSCD
2005年第4期51-55,i0003,共6页
Remote Sensing for Land & Resources
关键词
遥感
蚀变矿物填图
主成分分析
东准噶尔
Remote sensing
Alteration mineral mapping
Principal component analysis
Eastern Junggar
