in collaboration with State Key Laboratory of Space-Ground Integrated Information Technology
The proliferation of satellite imagery provides an opportunity for radically improved understanding of our planet. It enables, for example, effective mobilisation of resources during disasters in monitoring effects of global warming. One major limitation is that the analysis of such images relies on labelling features of objects, such as buildings and roadways, by hand or by semi-automated methods with low labelling accuracy.
The goal of this project is to develop novel machine learning algorithms for automating image analysis, which allows efficient implementation in custom computing platforms with high performance, low power consumption, and high labelling accuracy.
The project will involve research collaboration with State Key Laboratory of Space-Ground Integrated Information Technology, which is sponsoring a PhD scholarship. Those who wish to be considered for the PhD scholarship should send Professor Wayne Luk (email@example.com) their CV and a one-page summary of their experience and their research interests, explaining their relevance to the project described above, preferably by 30 April, 2018. Informal enquiries about the proposed project can be sent to Professor Luk.
To make an application, please visit our How to Apply page.