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CCD

CCD is comprised of Coherent Change Detection and Magnitude Change Detection. Both change detection processes use radio waves captured in SAR imagery to determine changes that have occurred between two subsequent images.

CCD requires multiple images of the same area. The first flight pass over an area generates a baseline, or reference, SAR image. On a subsequent pass the SAR system collects data over the same area and an additional SAR image is generated. The two passes are then compared and processed to form the CCD image.

Differences in coherence appear in black and white, black indicating those signals that returned with a change in timing, and white indicating no change. Magnitude differences between the two images show up as red and blue. Red indicates what has left, “Red Fled” and blue indicates what is new to the scene, “Blue New.”

Changes and activities that are not easily seen in a single pass become obvious through the CCD process.

TYPICAL USES FOR CCD

Using CCD and combining it with other ISR solutions allows IMSAR systems to perform multiple applications in a variety of industries. Typical uses for IMSAR’s ISR solutions can include:

  • Intelligence Gathering
  • Landslide Monitoring
  • Monitoring Construction Sites
  • Military Surveillance
  • Wildland Fire Monitoring
  • Monitoring Mining Operations
  • Search & Rescue Operations
  • Pipeline Monitoring
  • Border Security
  • Disaster Preparation & Response
  • Livestock & Wildlife Monitoring
  • Counter Drug Trafficking Operations

AVAILABLE PRODUCTS

IMSAR systems that are capable of performing CCD are available in a variety of configurations that are designed for easy integration onto manned or unmanned aircraft. The following configurations can be used for CCD missions:

  • NSP-3
  • NSP-5
  • NSP-5 UWB
  • NSP-8D
  • ONESAR

CONTACT US

For more information about CCD and other products, contact us by e-mail at information@imsar.com or call IMSAR sales at 801.798.8440.

COHERENT CHANGE DETECTION

MONITOR CHANGES WITH

CCD combines two SAR images of the same scene taken at different times and uses an algorithm to create a new image. This new image highlights the differences between the two SAR images, telling a story about what happened.

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