Gathering Surveillance and Reconnaissance Data Through Hyper
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Dec 15, 2022

Gathering Surveillance and Reconnaissance Data Through Hyperspectral Imagery

Accuracy in target identification and acquisition is crucial, whether that target is an ammunitions repository, a chemical threat, or an oil spill. The ability to differentiate between images of interest allows our military and first responders to conduct precise tactical maneuvers where and when they are needed.

QinetiQ US offers highly accurate, cutting-edge solutions in hyperspectral imagery that allow for the identification of specific targets based on materials and composition. Hyperspectral imagery is comprised of image data sets across more than 100 spectral bands, each of which can be analyzed and referenced to determine if it is of interest. Mission sets and requirements can easily be applied to the data specifications so that when they are layered and analyzed a comprehensive picture is formed to help timely decision making.

Whether ground-based or airborne, hyperspectral imagery provides unique insights into target acquisition for intelligence, search, and reconnaissance missions in real or near real time. Although the use of spectral imagery in laboratory settings dates back over 100 years1, the broader application of hyperspectral imagery to examine specific earth-based assets allows for knowledge expansion, fast response to threats, and in-depth analysis. Because the parameters for every image are unique, QinetiQ has been working with the U.S. government to build a library of specifications and configurations to ensure future efficiency and accuracy.

Hyperspectral Imaging - Market and Technology Forecast to 2030

Hyperspectral Imaging - Market and Technology Forecast to 2030

Market forecasts by Region, System Elements, Spectral range, and End-User. Market Overview, Key Technologies and Developments , Market Dynamics, Impact Analysis, and Leading Companies

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Applications:

  • Weapons location
  • Chemical threats
  • Environmental threats
  • Natural disasters
  • Enemy movement
  • Commercial enterprises

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