Gaining a deeper understanding of the Earth’s composition through imaging and AI to create sustainable resource management programs within mining and other sectors.
Remote Sensing applies the latest Artificial Intelligence (AI) techniques to analyse and interpret Earth Observation (EO) data to gain new insights that support various resource and environmental-management sectors.
Led by Professor Kai Qin and working closely with organisations including Planet Labs and Geoplex, the Remote Sensing program is using EO data and applying the latest AI techniques to gain valuable insights on the ground.
EO data is captured by sensors mounted on aircrafts, drones, balloons, satellites and more. There is a wide variety of data types such as optical, Light Detection and Ranging (LiDAR) or Synthetic-Aperture Radar (SAR) images. These remotely-sensed data offer complementary information and can be synergised, via data fusion techniques, to yield deeper insights of what is happening on the Earth.
Applications of Remote Sensing
Using remote sensing technology and leveraging various aspects of astrophysics, AI and computer vision have been valuable, for example, in supporting the resource sector across their mining lifecycle, from early exploration to ongoing monitoring, and environmental compliance.
Our research areas
This program has a range of research capabilities including:
- remote sensing image super-solution
- remote sensing image segmentation and classification, e.g. for multi-spectral, hyper-spectral, multi-band and multi-polarisation images
- change detection from homogenous or heterogenous remote sensing images
- EO data fusion
- research and applications of machine learning (particularly deep learning) techniques for EO data analysis
- intelligent optimisation based on swarm intelligence and evolutionary computation for remote sensing.
Swinburne Supercomputing OzSTAR Facility
Our OzSTAR supercomputing facility here at Swinburne has proven to be an excellent research tool in areas of astronomy ranging from simulations of structure formation in the universe to the processing of data collected from telescopes.
Explore our other research programs
Contact the Space Technology and Industry Institute
If your organisation would like to collaborate with us to solve a complex problem, or you simply want to contact our team, get in touch by calling +61 3 9214 5177 or emailing firstname.lastname@example.org.