By means of the correlation analysis of TMdata, the authors have proved that the relation between the TMimage brightness and the ground spectrum reflectivity of copper deposits is the linear correlation. On the basis of the ground-space correlation analysis of TMdata, the present paper deals with the regression analysis method and the application effects of the ground-space correlation image for the prognosis of copper deposits in Sankuanggou area located in Heilongjang Province. The paper presents that the regression analysis of TMdata is one of the best method for detecting copper mineralization position and metallogenic prognosis.
王海平, 曲国林, 胡云中. 遥感数据(TM)的地空相关性研究及其在成矿预测中的应用[J]. 国土资源遥感, 1997, 9(3): 19-28.
Wang Haiping, Qu Guolin, Hu Yunzhong, . THE SPACE-GROUND CORRELATION RESEARCH OF REMOTE SENSING DATA (TM) AND ITS APPLICATION IN METALLOGENIC PROGNOSIS. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(3): 19-28.
 Sanbin,F. C. and Realmuto, V. J.,Quantifative estimation of granitoid composition from thermal infrared multispectral
scanner data, Desolation Wilderness, California, J. Geophy, Res,Vol.99, 1994
 Yoshki, N. M.,Quantitative estimation of SiOz content in igneous rocks using thermal infrared spectra with a neural network approach, IEE.Transaction on geoscience and remote sensing, Vol. 33, No. 3, 1995
 Salishury,J.W.,Thermal-infrared remote sensing and Kirchboff's Law laboratory measurements, J. Geophys, Res.,Vol. 100.1995
 Hunt, G. R.,Spectra of altered rocks in visible and near infrared, ECO. GEO. Vol. 74,1976
 Anuta, P. E,Computer assisted analysis techniques for remote sensing data interpretation,Geophysics,Vol.42. 1977