Hyper/Multi-Spectral Imaging

All materials have unique 'fingerprints' in the electromagnetic spectrum. Hyperspectral sensors look at objects using a vast portion of this electromagnetic spectrum. Known as spectral signatures, these 'fingerprints' enable identification of the materials in the hyperspectral image. More data provides more detail about an object allowing not only for object detection but improved ability to classify objects based on material composition.  

Turn to MDA for hyper/multi-spectral systems data analysis for enhanced object detection and identification

MDA develops algorithms to monitor all details of spatial, temporal and spectral representation of ground objects. MDA provides processing of hyperspectral imagery data to help identify many kinds of materials, such as pollutants, minerals and even moisture content in soils and vegetation, making hyperspectral systems an ideal tool for defense, security and commercial applications including:

 

Using  longwave infrared (LWIR) hyperspectral imaging to identify amonia plumes.

  • Locating and identifying chemical-biological and improvised explosive device (IED) manufacturing operations
  • Monitoring pollution from industrial operations
  • Detecting and analyzing leaks from mining, transport and refining operations
  • Monitoring cleanup of industrial disasters
  • Supporting precision agriculture
    • Increasing yields/minimizing run off
    • Identifying specific types of vegetation/early detection of crop disease

Customized hyperspectral solutions to meet your needs

From complete turnkey end-to-end solutions to processing and analysis of existing data sources, MDA assists users in the development and implementation of systems and provides cutting edge algorithms for optimized detection and identification of chemicals, materials and minerals of interest for DoD and industry. MDA can design, prototype, test and build custom airborne and tactical hyperspectral systems for challenging detection problems.

For more information, contact us.