DocumentCode :
3065049
Title :
Texture feature of remote sensing image for the recognition of hydrothermal uranium ore-field in south China
Author :
Pan Wei ; Li Ziying ; Li Hanbo ; Yin Li ; Gong Baochang
Author_Institution :
Nat. Key Lab. of Remote Sensing Inf. & Image Anal. Technol., Beijing Res. Inst. of Uranium Geol., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3026
Lastpage :
3028
Abstract :
Hydrothermal uranium deposit is very important in China and mainly distributes in the south of the country. The deposit often occurred in an area of multi periods magmatism and tectonic action. In order to summarize the characteristics of this area in remote sensing, method of visual interpretation, calculation of fractal box dimension and a-f(a) multi-fractal spectral are used to study the texture feature of ETM image in 11uranium ore-field and their neighbor area.
Keywords :
geophysical image processing; image recognition; image texture; magma; minerals; mining; remote sensing; tectonics; ETM image; fractal box dimension; hydrothermal uranium ore field recognition; image texture feature; magmatism; remote sensing; south China; tectonic action; visual interpretation; Fractals; Remote sensing; Rocks; Visualization; Wavelet analysis; Wavelet transforms; Rocks; fractal; land surface; mineral;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723463
Filename :
6723463
Link To Document :
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