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