Extraction of Remote Sensing Anomaly and Metallogenic Prediction in Duolong Ore-Concentrated Area of Tibet
详细信息
- 责任者：Bie Xiaojuan (College of Tourism and Urban-Rural Planning ; Chengdu University of Technology ; Chengdu 610059 ; China) ; Zhang Tingbin
- 刊名：Journal of Guilin University of Technology
- 出版年：2013
- 卷期：33(2)
- 关键词：成像光谱遥感 ; imaging spectral remote sensing ; 铜矿 ; copper ores ; 成矿预测 ; metallogenic prediction ; 西藏 ; Tibet
- 页码：p.252-258
- 图表：illus., 1 table, 13 refs.
- 分类号：1600
- issnNo：ISSN1674-9057
- isbnNo：CN45-1375/N
摘要
The information of mineralization and alteration can be extracted from the data of ETM + and ASTER,studied by many researchers.In order to get the effective information of the porphyry copper deposit in Duolong,ratio method and principal component analysis are used to extract the abnormal information from the data of ETM + and ASTER.In this way,abnormal features of a known orebody are well studied.Spectral classification of target area is researched by the method of spectral characteristics fitting.Based on both studies,metallogenic prediction of ore-concentrated area in Duolong is made,and the vision of metallogenic province is well delimited.All enriches remote sensing anomaly on the orebody.
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