A suitalbe solution for extraction of alteration anomalies from the remote sensing data: A case study of the Baogutu porphyry copper deposit intrusion, Xinjiang, China using Aster data

This paper presents a new alteration mineral mapping method based on statistical analysis of spectra. First of all, this method processes a cluster of measurement data of spectral of field samples, in order to distinguish different sample area from the overall types. Second, the results of the clustering of different mineral alterations were established their respective discriminant functions. Thus, mapping major alteration type accords with the clustered reference spectra by given remote sensing images. Finally mapping further alteration types based on the discrimant function of second step, which lead to final alteration map. This method takes full account of the different combination of alteration types, as well as the regional differences of alterations, and the establishment of the discriminant function for alteration minerals is more scientific. Moreover, we access the reliability of mapping to a certain extent. The method applied to a study area of Baogutu in Xinjiang Province, which represent a good result.