Abstract | ||
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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. |
Year | DOI | Venue |
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2012 | 10.1109/IGARSS.2012.6352254 | IGARSS |
Keywords | Field | DocType |
geophysical techniques,spectral angle method,remote sensing,dolomitization,gejiu tin deposit,chloritization,principal component analysis method,band math method,minerals,mineralizing alteration extraction methods,mineralizing alternation,mineralization abnormal information,geophysical image processing,vegetation mineralization alteration information,limonitization,etm data,information extraction,remote sensing information,yunnan,aster data,remote sensing technology,principal component analysis,mineralization,data mining | Aster (genus),Vegetation,Mineralogy,Dolomitization,Remote sensing,Mineralization (biology),Information extraction,Geology,Principal component analysis | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 E-ISBN : 978-1-4673-1158-8 |
ISBN | Citations | PageRank |
978-1-4673-1158-8 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Li Chen | 1 | 0 | 3.04 |
Qi-ming Qin | 2 | 158 | 49.12 |
Chao Chen | 3 | 2032 | 185.26 |
Hongbo Jiang | 4 | 985 | 80.52 |