Coincidence Processing of Photon-Sensitive Mapping LIDAR Data

Abstract

Photon-sensitive mapping lidar systems are able to image at greater collection area rates and ranges than linear-mode systems. However, these systems also experience greater noise levels due to shot noise, image blur, and dark current, which must be filtered out before the imagery can be exploited. Described in this report is a synthetic test data set of imagery from a notional airborne Geiger-mode lidar. Also described is the Bridge Sign algorithm, which uses a least-squares technique for noise filtering. The algorithms performance was validated using synthetic test imagery of both a toy scene and of a realistic scene, which were generated using the parameters of a notional airborne Geiger-mode system. Analysis of the results shows the technique effectively removes noise and preserves fine details with good fidelity.

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Document Details

Document Type
Technical Report
Publication Date
Feb 19, 2020
Accession Number
AD1091618

Entities

People

  • Christian Marchant
  • David Ober
  • Ryan Kirkpatrick

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Airborne
  • Algorithms
  • Altitude
  • Computer Graphics
  • Coordinate Systems
  • Data Processing
  • Data Sets
  • Detection
  • Detectors
  • Filtration
  • Global Positioning Systems
  • Image Processing
  • Inertial Measurement Units
  • Laser Radar
  • Optics
  • Radar
  • Three Dimensional

Readers

  • Image Processing and Computer Vision.