Studying the Impact of Feature Saliency for Geoscientific Target Detection using Electroencephalography (EEG)

Sivarajah, Y. and Holden, E. and Kovesi, P. and Togneri, R. and Tan, T. and Price, G. 2012. Studying the Impact of Feature Saliency for Geoscientific Target Detection using Electroencephalography (EEG), in Proceedings of the 2012 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Dec 3-5 2012. Fremantle, Western Australia: Institute of Electrical and Electronics Engineers.

Source Title

Proceedings of the 2012 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2012

Source Conference

2012 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2012

DOI

10.1109/DICTA.2012.6411707

ISBN

978-146732181-5

School

Department of Computing

URI

http://hdl.handle.net/20.500.11937/28379

Collection

Curtin Research Publications

Abstract

Accuracy and efficiency in geoscientific data interpretation is critically important for the resource industry, as based on these interpretations, significant financial decisions are made for exploration and extraction of resources. This study aims to understand image characteristics that impact interpreters' ability to detect geological targets within magnetic geophysics images. We use the Brain Computer Interface (BCI) approach to profile interpreter's neurological responses to geophysical target images using electroencephalography (EEG). These results are compared with image saliency analysis outputs, specifically the spatial distribution of visual attention peaks. Our experimental results showed that images with a wider dispersion of saliency lead to a lower rate of target detection based on EEG activities of interpreters.