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Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

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Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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Target detection with randomized thresholds for lidar applications.

Steven E Johnson1

  • 1OGSystems, Chantilly, Virginia 20151, USA. steven.johnson@ogsystems.com

Applied Optics
|June 23, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a randomized thresholding method for light detection and ranging (lidar) systems. This approach enables precise control over false alarm probabilities, improving target detection accuracy compared to conventional methods.

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Area of Science:

  • Photonics
  • Signal Processing
  • Optical Engineering

Background:

  • Light detection and ranging (lidar) systems commonly use binary hypothesis tests for target detection within specific range intervals.
  • Photon counting lidar systems typically set detection thresholds based on a fixed number of photon detections, which restricts the arbitrary selection of false alarm probability.

Purpose of the Study:

  • To present a novel hypothesis testing method utilizing randomized thresholds for lidar systems.
  • To enable lidar systems to operate at any desired false alarm probability.

Main Methods:

  • Development and application of a hypothesis test incorporating randomized thresholds.
  • Comparison of detection probabilities between the randomized threshold method and conventional non-randomized methods.

Main Results:

  • The randomized thresholding method allows for the selection of any false alarm probability.
  • This method generally yields higher target detection probabilities than traditional non-randomized hypothesis tests, especially when a maximum allowable false alarm probability is imposed.

Conclusions:

  • Randomized thresholding offers enhanced flexibility and performance for lidar systems.
  • The proposed method overcomes limitations of conventional thresholding, leading to improved target detection capabilities in lidar applications.