Share Email Print
cover

Proceedings Paper

A new theory and method for non-model ore-deposit prediction: phase-separation analysis of remote sensing information field of metallogenetic environment
Author(s): Wu-nian Yang; Yu-lan Wang; Zhang-sen Zhu; Jean-Pierre Paris
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, the authors proposed a new theory and method, the phase-separation analysis of remote sensing information field of metallogenetic environment for non-model ore deposit prediction. The theory of nonmodel ore deposit prediction suggests that the forming of ore deposit result from multiple changes of many geological factors; and in a particularly geological environment, the places where tectonic movement of multi-times piled up together probably produce large or giant type deposits; and the existence of great mineralized body maybe lead to some remarkable differences in composition, in structure, in geophysical field and in geochemical field from the surrounding geological background, even lead to anomalies of biosphere and atmosphere of the earth. Therefore, on the basis of geology and other data, combining RS with GIS, and through decomposing multivariate information fields, feature extracting and seeking anomaly, it is feasible to establish the natural models of ore source bodies to predict related ore deposits correctly.

Paper Details

Date Published: 11 June 2003
PDF: 8 pages
Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); doi: 10.1117/12.467308
Show Author Affiliations
Wu-nian Yang, Chengdu Univ. of Technology (China)
Yu-lan Wang, Chengdu Univ. of Technology (China)
Zhang-sen Zhu, Chengdu Univ. of Technology (China)
Jean-Pierre Paris, GDTA Parc Technologique du Canal (France)


Published in SPIE Proceedings Vol. 4898:
Image Processing and Pattern Recognition in Remote Sensing
Stephen G. Ungar; Shiyi Mao; Yoshifumi Yasuoka, Editor(s)

© SPIE. Terms of Use
Back to Top