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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 22 — Nov. 4, 2013
  • pp: 26876–26887

Linear segmentation algorithm for detecting layer boundary with lidar

Feiyue Mao, Wei Gong, and Timothy Logan  »View Author Affiliations

Optics Express, Vol. 21, Issue 22, pp. 26876-26887 (2013)

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Abstract: The automatic detection of aerosol- and cloud-layer boundary (base and top) is important in atmospheric lidar data processing, because the boundary information is not only useful for environment and climate studies, but can also be used as input for further data processing. Previous methods have demonstrated limitations in defining the base and top, window-size setting, and have neglected the in-layer attenuation. To overcome these limitations, we present a new layer detection scheme for up-looking lidars based on linear segmentation with a reasonable threshold setting, boundary selecting, and false positive removing strategies. Preliminary results from both real and simulated data show that this algorithm cannot only detect the layer-base as accurate as the simple multi-scale method, but can also detect the layer-top more accurately than that of the simple multi-scale method. Our algorithm can be directly applied to uncalibrated data without requiring any additional measurements or window size selections.

© 2013 Optical Society of America

OCIS Codes
(280.1100) Remote sensing and sensors : Aerosol detection
(280.3640) Remote sensing and sensors : Lidar

ToC Category:
Remote Sensing

Original Manuscript: August 23, 2013
Revised Manuscript: October 18, 2013
Manuscript Accepted: October 20, 2013
Published: October 30, 2013

Feiyue Mao, Wei Gong, and Timothy Logan, "Linear segmentation algorithm for detecting layer boundary with lidar," Opt. Express 21, 26876-26887 (2013)

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