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Daniel Wedge

Research Assistant Professor
Centre for Exploration Targeting (CET)

Contact details

Address
Robert Street Building, Rm 213 
Centre for Exploration Targeting (CET)
The University of Western Australia (M006)
35 Stirling Highway
CRAWLEY WA 6009
Australia

Phone
+618 6488 2675
Email
daniel.wedge@uwa.edu.au

Daniel joined the Geophysics and Computational Analysis group in CET in 2010. Prior to that he completed a PhD in Computer Science and then worked in industry developing image and video processing algorithms. His work primarily focuses on extracting features from various geophysical and geological images, and data visualisation problems. Automating feature extraction is a key interest due to the large amounts of data that are routinely collected nowadays which may take too long to fully process manually and hence can be prohibitively expensive. In addition to improvements in terms of speed and cost, the results are objective and reproducible.

Daniel has worked on projects ranging from visualisation of full tensor gradient (FTG) gravity surveys containing 5 independent components and covering large spatial areas, to detecting planar structures in acoustic and optical downhole image logs, classifying mined ore particles as being ore-bearing or waste particles from visual and hyperspectral features, and estimating the sedimentary grain size distribution within a core from high-resolution core photos.

Key Research

  • Image processing
  • Pattern recognition and feature extraction
  • Data visualisation

Publications

Daniel Wedge. Mass Anomaly Depth Estimation From Full Tensor Gradient Gravity Data. In Proceedings of Workshop on Applications of Computer Vision, 2013. 

Daniel Wedge, Yathunanthan Sivarajah, Eun-Jung Holden, Peter Kovesi, Paul Johnston, Chris Wijns. Visualising Full Tensor Gradient Gravity Data using Texture and Colour Cues. In Proceedings of Digital Image Computing: Techniques and Applications, 2012. 

Eun-Jung Holden, Jason C. Wong, Peter Kovesi, Daniel Wedge, Mike Dentith, Leon Bagas. Identifying structural complexity in aeromagnetic data; an image analysis approach to greenfields gold exploration. Ore Geology Reviews, 2012.

Eun-Jung Holden, Peter Kovesi, Mike C. Dentith, Daniel Wedge, Jason C. Wong and Shih Ching Fu. Detection of Regions of Structural Complexity within Aeromagnetic Data using Image Analysis. In Proceedings of Image and Vision Computing New Zealand, 2010.

Daniel Wedge, Adele F. Scott, Zhonghua Ma, and Jeroen Vendrig. Object tracking over multiple uncalibrated cameras using visual, spatial and temporal similarities. In Lecture Notes in Computer Science 6475, pp. 167-178, 2010.