• 责任者：Chen Wenping (No.1 Regional Geological Surveying Party ; BGMRED of Xinjiang ; Urumqi 830013 ; China) ; Lü Jingang
• 刊名：Xinjiang Geology
• 出版年：2009
• 卷期：27(2)
• 关键词：锑矿 ; antimony ores ; 遥感 ; remote sensing ; 昆仑山 ; Kunlun Mountains
• 页码：p.180-183
• 图表：4 illus., 5 refs.
• 分类号：1600
• issnNo：ISSN1000-8845
• isbnNo：CN65-1092/P

Normal>///Wall rock alteration is an important indication of mineralization. It is important extract alteration information from the Remote Sensing image. In this paper, based on the spectral theory of the ground materials, using ETM+ space image data as the information source, the authors did some information extraction work on remote sensing mineralizing abnormal area. The authors use the mask technology、principal component analysis  to enhance alteration information on the image, then the authors use the threshold segmentation method get the mineralizing alteration abnormal. After that, we do Median convolution to different alteration type we have got and give then different color. It was registered and geochemical anomaly. Field examinations show that the results are in accord with the mapped alteration.