Defense and security technology

DTU strengthens development of satellite-based technology

Satellites with built-in artificial intelligence for image processing will make it faster and less costly to retrieve surveillance data from space.

Satellites with built-in artificial intelligence for image processing will make it faster and less costly to retrieve data. Photo: ESA.

Topic on security Technology

There is a lot of political attention to technology that can improve security in society. This applies to both advanced computer and space technologies for surveillance, and it applies to the development of encryption to protect communications, personal data and supply systems in society against hacker attacks.

Read DTU's topic on security technology (In danish only)

Satellite data

Participants: DTU, Terma, Gatehouse, SpaceInventor, the Danish Armed Forces. There is collaboration on a similar industrial project, which belongs under the Norwegian Space Agency.
Purpose: Streamlining satellite data for use in defence and security technology systems using artificial intelligence, among other methods.

Illegal ships

Participants: DTU, the private analysis and data company Gatehouse Maritime, and the Danish Armed Forces. 
Purpose: To identify illegal ships in Danish territory, etc.
Gatehouse has a maritime department specializing in the collection and resale of ship traffic data. Data is retrieved via the ships’ statutory AIS transponders, which provide information about the ship’s name, cargo route, position, and calls at ports, etc. Customers for such data are typically authorities and military commands, which want knowledge about the movements of the ships. Comparing the DTU researchers’ satellite-based data with data from Gatehouse makes it possible to identify ships that would otherwise not be detected, which the authorities can then look into.

AI

How artificial intelligence (AI) and satellite surveillance of the Earth are used: The huge volumes of data from—among others—the satellites that monitor a given area in, for example, the Arctic are analysed using artificial intelligence in the form of machine learning, deep learning, and algorithms. The system is ‘trained’ to discard unimportant data and to be able to identify—for example—icebergs and ships, and to distinguish the two from each other.

datasources

These data sources are included in the overall picture of—for example— the position of a ship:

  • Data from satellites in the form of both optical images and radar images (SAR).
  • Data from ships’ AIS systems to the extent possible.
  • Data from RF antennas on Earth that are used for radio communications.
  • Data from analysis of interference (RFI) in SAR images from satellites. This interference occurs when signals from satellites are mixed with signals from radars on ships or on the ground. Based on this data, the position and type of a radar can be located.