On enhancing Satellite Imagery with Oriented Filters and Machine Learning
Date and time: 30 October 2019 at 12:00
Venue: Communications Lab, Room 1 (Level 0, Block B) Faculty of ICT
What is it: Seminar
Organiser: The DSRP at the University of Malta
Speaker: Dr David T. Lloyd
There are currently over 600 Earth-observing satellites in orbit and that number is set to grow in the years to come. Together these satellites produce many 100’s of TB of data each day, with a significant fraction of this data made available for free to users. Naturally such large datasets are ripe for the application of newly developed tools originating in data science, notably those utilising deep learning. The speaker will present some preliminary results from the SAT-FIRE project. He will describe a simple, computationally-efficient filter, developed for improving the quality and fidelity of satellite images acquired with poor signal to noise ratio. Furthermore, it will be shown that computational super-resolution techniques based upon neural networks are able to enhance the resolution (and information content) of thermal images of the sea around the Maltese islands. Such enhanced images are of use for improving the accuracy of oceanographic models, with applications in climate modeling and directing sea rescue efforts.
The Data Science Research Platform (DSRP) at the University of Malta conducts research in the interdisciplinary field of data science. The scope of the group is to use signal processing, machine learning and statistics to develop innovative techniques and to extract useful knowledge from various data sources in an effective manner to benefit the wider public.