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Simple multiscale algorithm for layer detection with lidar |
Applied Optics, Vol. 50, Issue 36, pp. 6591-6598 (2011)
http://dx.doi.org/10.1364/AO.50.006591
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Abstract
Lidar is a powerful active remote sensing device used in the detection of the optical properties of aerosols and clouds. However, there are difficulties in layer detection and classification. Many previous methods are too complex for large dataset analysis or limited to data with too high a signal-to-noise ratio (SNR). In this study, a mechanism of multiscale detection and overdetection rejection is proposed based on a trend index function that we define. Finally, we classify layers based on connected layers employing a quantity known as the threshold of the peak-to-base ratio. We find good consistency between retrieved results employing our method and visual analysis. The testing of synthetic signals shows that our algorithm performs well with SNRs higher than 4. The results demonstrate that our algorithm is simple, practical, and suited to large dataset applications.
© 2011 Optical Society of America
OCIS Codes
(010.1100) Atmospheric and oceanic optics : Aerosol detection
(010.3640) Atmospheric and oceanic optics : Lidar
(290.1090) Scattering : Aerosol and cloud effects
(010.1615) Atmospheric and oceanic optics : Clouds
ToC Category:
Atmospheric and Oceanic Optics
History
Original Manuscript: August 5, 2011
Manuscript Accepted: October 17, 2011
Published: December 15, 2011
Citation
Feiyue Mao, Wei Gong, and Zhongmin Zhu, "Simple multiscale algorithm for layer detection with lidar," Appl. Opt. 50, 6591-6598 (2011)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-36-6591
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