The Integrated Exploration Platform (IEP) is a GIS based data analytics platform (for ArcGIS) to support mineral explorers operating in Western Australia. The IEP has been built to facilitate an interpreter-driven and computer-assisted approach, to address the challenge of deriving a single coherent interpretation from multiple sources of data, in the presence of uncertainty and human bias.
Interpretation Support Tools
The IEP utilises image analysis algorithms for feature evidence evaluation for structural interpretation of geophysical data. Using automated edge, ridge and valley feature detection algorithms, the IEP produces a number of feature-strength maps as a representation of feature evidence. This feature evidence provides: quantitative measures on user-provided interpretation lines, and can also is visualised with a novel data overlay method.

Holden, E-J, Wong, JC, Wedge, D, Martis, M, Lindsay, M, and Gessner, K 2016, Improving assessment of geological structure interpretation of magnetic data: An advanced data analytics approach: Computers and Geosciences, vol. 87, p. 101-111.

Interactive Multi-Data Visualisation Tools
The IEP visualisation tools use an interactive blending paradigm, simultaneously using multiple datasets, to better facilitate the interpretation of complex information from multiple data sources. A suite of different multi-image blending tools are designed to support different types of data critical to mineral exploration, including 2D data such as geophysical data, radiometric data, and ASTER data, as well as blending visualisation techniques for 3D volumetric data.

Kovesi, P, Holden, E-J, and Wong, J 2014, Interactive Multi-Image Blending for Visualization and Interpretation: Computers and Geosciences, vol. 72, p. 147-155.

About IEP
The IEP was developed by the Computational Analysis Team at the Centre for Exploration Targeting (CET) within the School of Earth and Environment at the University of Western Australia, in collaboration with the Geological Survey of Western Australia (GSWA). This development was financially supported by GSWA in the Exploration Incentive Scheme (EIS) and Australian Research Council (ARC) Linkage LP140100267. The Computational Analysis Team have also developed: the CET Grid Analysis and CET Porphyry Detection extensions for Seequent Oasis Montaj, and the Image and Structure Interpretation workspace for ALT WellCAD. The team specializes in integrating automated data analysis techniques and end-user focused interface workflow design in a user-driven and computer-assisted approach.
Contact us
Centre for Data-driven Geoscience
School of Earth and Oceans
The University of Western Australia
Robert Street Building
35 Stirling Highway
Crawley WA 6009
Australia
Email: daniel.wedge at uwa.edu.au