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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 46, Iss. 29 — Oct. 10, 2007
  • pp: 7275–7288

Lidar detection algorithm for time and range anomalies

Avishai Ben-David, Charles E. Davidson, and Richard G. Vanderbeek  »View Author Affiliations

Applied Optics, Vol. 46, Issue 29, pp. 7275-7288 (2007)

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A new detection algorithm for lidar applications has been developed. The detection is based on hyperspectral anomaly detection that is implemented for time anomaly where the question “is a target (aerosol cloud) present at range R within time t 1 to t 2 ” is addressed, and for range anomaly where the question “is a target present at time t within ranges R 1 and R 2 ” is addressed. A detection score significantly different in magnitude from the detection scores for background measurements suggests that an anomaly (interpreted as the presence of a target signal in space∕time) exists. The algorithm employs an option for a preprocessing stage where undesired oscillations and artifacts are filtered out with a low-rank orthogonal projection technique. The filtering technique adaptively removes the one over range-squared dependence of the background contribution of the lidar signal and also aids visualization of features in the data when the signal-to-noise ratio is low. A Gaussian-mixture probability model for two hypotheses (anomaly present or absent) is computed with an expectation-maximization algorithm to produce a detection threshold and probabilities of detection and false alarm. Results of the algorithm for CO 2 lidar measurements of bioaerosol clouds Bacillus atrophaeus (formerly known as Bacillus subtilis niger, BG) and Pantoea agglomerans, Pa (formerly known as Erwinia herbicola, Eh) are shown and discussed.

© 2007 Optical Society of America

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(010.3640) Atmospheric and oceanic optics : Lidar
(070.6020) Fourier optics and signal processing : Continuous optical signal processing
(280.1100) Remote sensing and sensors : Aerosol detection
(280.1120) Remote sensing and sensors : Air pollution monitoring
(280.3640) Remote sensing and sensors : Lidar

ToC Category:
Remote Sensing and Sensors

Original Manuscript: March 16, 2007
Revised Manuscript: August 14, 2007
Manuscript Accepted: August 20, 2007
Published: October 8, 2007

Virtual Issues
Vol. 2, Iss. 11 Virtual Journal for Biomedical Optics

Avishai Ben-David, Charles E. Davidson, and Richard G. Vanderbeek, "Lidar detection algorithm for time and range anomalies," Appl. Opt. 46, 7275-7288 (2007)

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