A novel lidar signal noise reduction algorithm based on improved deep belief network

Article Optics

Novel Inversion Algorithm for the Atmospheric Aerosol Extinction Coefficient Based on an Improved Genetic Algorithm

Minghuan Hu et al.

Summary: Aerosols are important in the radiation balance of the earth-atmosphere system, but traditional inversion algorithms for studying their optical characteristics are limited by assumptions and can affect accuracy. To improve the inversion of the aerosol extinction coefficient, an inversion method based on an improved genetic algorithm is proposed. Experimental comparisons showed promising results and provided a new approach to aerosol extinction coefficient inversion.

PHOTONICS (2022)

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Article Environmental Sciences

A Novel Lidar Signal-Denoising Algorithm Based on Sparrow Search Algorithm for Optimal Variational Modal Decomposition

Zhiyuan Li et al.

Summary: A novel denoising method combining VMD, SSA, and SVD is proposed in this paper to reduce noise and extract useful signals from lidar return signals. The method has shown improved noise reduction over other existing methods and can eliminate complex noise while retaining signal details.

REMOTE SENSING (2022)

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Article Engineering, Multidisciplinary

An EEMD-SVD-LWT algorithm for denoising a lidar signal

Xiao Cheng et al.

Summary: A segmentation SVD-LWT denoising algorithm based on EEMD was proposed to better suppress noise in atmospheric lidar return signals, with simulations showing superior results. The algorithm was also applied to denoise practical lidar signals, outperforming other methods.

MEASUREMENT (2021)

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Article Optics