Algorithm based on joint time-frequency analysis to eliminate noise from stratospheric laser data

Henry Boyo; Motowo Fujiwara; Vasily G. Moshnyaga; Adenike Boyo

doi:10.1117/12.467546

9 April 2003 Algorithm based on joint time-frequency analysis to eliminate noise from stratospheric laser data

Henry Boyo, Motowo Fujiwara, Vasily G. Moshnyaga, Adenike Boyo

Proceedings Volume 4891, Optical Remote Sensing of the Atmosphere and Clouds III; (2003) https://doi.org/10.1117/12.467546
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

The difficulties in extracting useful information from the noise-corrupted stratospheric laser echoes have elevated application of digital signal processing techniques to the atmospheric research. This paper focuses on the problem of noise elimination from the transient returns of stratospheric laser echoes, proposes a new solution approach to it. Unlike related methods which address signal modeling in time domain only, we formulate the problem in both time and frequency domain, present a new modeling environment for the joint time-frequency analysis and use a non-linear median filter for noise elimination. Experiments with various patterns of spectral clouds demonstrate that such an approach significantly increases readability and accuracy of results in terms of the back-scattering function and depolarization.

Citation Download Citation

Henry Boyo, Motowo Fujiwara, Vasily G. Moshnyaga, and Adenike Boyo "Algorithm based on joint time-frequency analysis to eliminate noise from stratospheric laser data", Proc. SPIE 4891, Optical Remote Sensing of the Atmosphere and Clouds III, (9 April 2003); https://doi.org/10.1117/12.467546

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