Title :
Remote sensing information of mineralizing alteration extraction methods
Author :
Chen, Li ; Qin, Qiming ; Chen, Chao ; Jiang, Hongbo
Author_Institution :
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
Abstract :
Remote sensing technology is considered a fast and effective method to prospect ore. Now, this method is used in Gejiu tin deposit of YunNan in order to extract more accurate mineralization abnormal information. In this study, first through the band math method and principal component analysis method, the mineralization alternation can be extracted in ETM data. Then using ASTER data the limonitization, the chloritization and the dolomitization are extracted by the spectral angle method. At last, the trace elements of the vegetation are statistically analyzed and the vegetation mineralization alteration information is extracted by two different methods in ASTER data. The result shows that the alternation information distributions are consistent in the east-south study area and match with the field exploration. Consequently the extracted results are effective.
Keywords :
geophysical image processing; geophysical techniques; minerals; remote sensing; ASTER data; ETM data; Gejiu tin deposit; YunNan; band math method; chloritization; dolomitization; limonitization; mineralization abnormal information; mineralizing alteration extraction methods; principal component analysis method; remote sensing information; remote sensing technology; spectral angle method; vegetation mineralization alteration information; Data mining; Mineralization; Principal component analysis; Remote sensing; Rocks; Vegetation mapping; Remote sensing; information extraction; mineralizing alternation;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352254