SPIN Internship

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Earth-i is participating in the Space Placements in Industry (SPIN) scheme.  SPIN has been designed to provide an introductory link for those considering employment in the space sector and space sector organisations looking to find the most talented and enthusiastic people to ensure the future success. The scheme is managed by the UK Space Agency and supported by the Satellite Applications Catapult.

The value of practical experience in the workplace has long been recognised to offer benefits to the spintern, providing valuable experience of the work environment and the skills that are crucial to a successful career. This year, Earth-i has put forward two project options for applicants to explore. To read the full details, please visit: https://sa.catapult.org.uk/people/space-placements-industry-spin/ 

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Project Option 1

We would like to take high resolution, full colour video from our satellite and investigate the various compression algorithms and codecs to determine the optimal compression achievable without loss to the quality of the video. As our satellite uses forward motion compensation it can stare at a 25 square km area of interest on the ground while passing over. This allow capture of video where much of the frame is the same and only moving objects change. That said, because the angle of the view changes as the satellite rotates with forward motion compensation the resolution of sections of the frame changes, initially from a wider area at the front as the satellite points forward, to a wider area at the back of the image as the satellite points backward. This means that there is apparent “movement” of the ground features which may confuse some video compression algorithms.

We would like to carry out a project to investigate the best solutions for compression as well as to look at video processing techniques (or frame level image processing techniques) that may improve the ability to compress the video in a lossless manner.

Project Option 2

We would like to take high resolution, full colour video from our satellite and investigate the potential to detect the movement of sections of static, ground based objects like wind turbines and cranes. Unlike moving objects such as vehicles or aircraft, which we know we can detect and extract vector and speed information on, static ground objects that have moving elements are more difficult to discern. We believe that we can achieve <1m resolution on our video by using super resolution techniques along with image enhancement processes on the individual frames of the video (such as pan sharpening). We would like the applicant to investigate what enhancements and manipulation can be done both in terms of the video and frame level imagery that makes up the video to see to what degree we can detect movement within the static objects. For example, does a wind turbine create a flash of white as the turbine rotates? This is particularly interesting as it 2 would open up the possibility to determine which turbines or cranes are active as the satellite passes overhead.

This could inform activity analytics and insights that could be valuable to government, NGOs and commercial organisations.

To Apply:

To apply for this role, please visit the SPIN 2018 application form webpage.

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