The data comes primarily from sensors that detecting information that are invisible to the human eye, then using advanced algorithmic processing the images are rendered for visualization or further Machine Learning (ML) processing to pull information and objects from the scene. When coupled with appropriate geospatial technologies and professional services, the core advantage of Synthetic Imaging is the ability for Image Analysts (IA), their supervisors, and other interested parties to visually understand specified surfaces, textures, shapes, patterns, movements, and more that could never be clearly seen in “real” images, like photos.

By creating accurate and detailed visual representations of difficult- or impossible-to-access physical features, Synthetic Imaging has become increasingly indispensable in science, geology, defense, digital mapping, intelligence gathering, space exploration, disaster planning, and other fields. For example, Synthetic Aperture Radar (SAR) can be used to generate accurate synthetic images of the earth’s surface, including terrain as well as structures and objects on that surface, in order to:

  • Detect emerging military threats
  • Provide GPS navigation
  • Visualize situational awareness data
  • Increase warfighters’ mission survivability
  • Monitor forest fires and climate change
  • Chart development goals
  • Study municipal or regional traffic patterns
 
  • Track extreme weather events
  • Identify emergency escape routes
  • Map civil engineering projects
  • Bolster space exploration operations
  • Enhance maritime navigation
  • Create transit system geofencing plans
  • And much more


Continuing advances in ML algorithms, data collection, and processing technologies also benefit other forms of Synthetic Imaging – Synthetic MRI and Synthetic CT in medicine, for example, and electron microscopy in molecular science – but the creation of images from sensors in real world settings has had greater impact across more industries and government entities, including defense, intelligence, environmental, and space agencies.

By adopting more advanced geospatial technologies and partnering with experienced operational talent, government agencies, universities, research groups, and private companies can use Synthetic Imaging to see, understand, navigate, and improve the world more effectively.


This information page is provided as a service to our readers by BAE Systems, Inc., a U.S.-based world leader in aerospace, defense, power, and intelligence solutions. Learn more about us here.

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