As the number of satellite launches increases and UAV technology continues to mature, the volume of data for Earth observation is growing at an ever-increasing rate. In order to process and analyse these massive volumes of data, advances have been made in remote sensing platforms and distributed processing. Synthetic Aperture Radar (SAR) forms the basis of Earth observation techniques due to its ability to sense at long range, through cloud cover, by day or by night, with the ability to generate 3D structure observations.
The drive towards multiple distributed, networked RF sensing nodes and automated manning of platforms with reduced human in the loop is pushing research towards developing solutions that can process data in near real time. Technologies enabling distributed processing with low power requirements, and suitable for bandwidth-limited and remote environments, are improving rapidly, particularly those based on FPGAs.
This workshop will look at the advances and challenges in onboard processing, machine learning and artificial intelligence for Earth observation.
About the event
This one-day interactive workshop aims to bring together a group of Earth scientists with interesting problem sets, data scientists with knowledge of machine learning algorithms and experts in computer architectures for power and bandwidth constrained environments.
The event will enable collaboration across related domains, accelerate our understanding of capabilities and limitations, and bring new functionality to bear on the continually evolving domain of edge computing for Earth observation.
The event will be split into 5 key themes:
- Machine learning, deep learning and AI for Earth observation
- Space missions and platforms
- Novel RF sensing technologies
- Distributed systems
- Computer architectures/FPGAs
Apply to attend
Limited spaces are available for this event. Apply to attend closes on Friday 28 February 2020 at 17:00 GMT.
By filling in this form, you consent for your details to be shared with the event organisers at The Alan Turing Institute in London, for the purpose of workshop planning and preparation. Your details will not be shared outside of the organisation, nor will they be used to send you information unrelated to this event.