Fabio Boschetti,
Research Scientist,
CSIRO Ocean & Atmosphere, Australia
Complex System Science
Ecological Modelling
Decision Making & Complexity
Modelling Human Behaviour
Urban Studies
Animal Movement & Abudance
Attitudes, Social Processes & Models
Future Studies
Modelling the future of the Kimberley region
Surveys & Toy Model
Visualisation of scientific data
Book Reviews, Blogs & Ideas


This is my past life, so all this work is now dated. It covers mostly image processing and inversion

Image Processing

Here the goal is to extract geologically meaningful information from geophysical signals and geological images. We also believe that it is crucial that the extracted information be displayed in a manner that is easily tractable by geoscientists with limited maths knowledge. Our work concentrates mostly on the following areas.

Multiscale analysis of geophysical images

We developed a mathematical framework which allows for the analysis, processing and inversion of gravity and magnetic images, based on multiscale edges. These edges represent the main features in an image, and they are a significant aid in the visual analysis and interpretation of potential field images. Also, under restrictive but geologically reasonable assumptions, these edges have simple spatial relationships with the location of contacts between bodies of different density and/or susceptibility and can consequently be used in an inverse process to reconstruct approximate 3-D models of the underground geology

Feature removal and improved downward continuation of potential field maps

Building on the theory developed in the multiscale analysis of geophysical images, we are able to isolate or remove individual anomalies from potential field maps. Depending on the purpose of the processing, we can either leave adjacent anomalies untouched, or account for the effects of the removed anomaly. Also, by constraining the process with the information contained in the multiscale edges, improvement in the sharpening inherent in the downward continuation of potential field maps can be achieved, thereby considerably improving the visual inspection of gravity and magnetic signals

Measure of image similarity

In a step towards the development of a tool for applications such as numerical inversion, geological image retrieval, geological feature extraction and image data set browsing, we propose a set of criteria which are based upon spatial relations between geological structures, in order to develop a measure of similarity between geological sections. By giving different weights to the criteria, the technique can be tuned to different geological problems. The weights are determined automatically when a user ranks sets of test images, without the need to assign numerical 'a priori' values

Other Geophysical Signal processing

Inversion of geophysical data