Abstract:

Using ETM+ remote sensing data as the basic information sources, remote sensing geological prospecting was carried out in the Zhulang periphery mining area, Ali, Tibet. Remote sensing image was handled by synthesizing pseudocolor, correction and removing the noise. Image filtering was done in order to enhance tectonic information to explain linear structure. The fractal dimension values that were calculated by the method of fractal geometry and the box-counting dimension, and then the linear structures showed excellent statistical self-similarity and fractal characteristics in this area.Principal Component Analysis and Ratio Method were used to enhance the spectrum and space information in this area and to extract the iron-stained and hydroxy alteration information. Comprehensively analyzing fractal dimension value of linear structure, abnormality of altered information, regional geological and geochemical information,and known deposits, five metallogenetic prospective areas were determined. No.Ⅰ prospect area was considered to be one of the most promising area.

Key words: remote sensing image, linear structure, fractal dimension, remote sensing information of alteration, metallogenic prognosis