GPR Image Noise Removal Using Grey Wolf Optimisation in the NSST Domain

Hyper-wavelet transforms, such as a non-subsampled shearlet transform (NSST), are one of the mainstream algorithms for removing random noise from ground-penetrating radar (GPR) images. Because GPR image noise is non-uniform, the use of a single fixed threshold for noisy coefficients in each sub-band...

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Détails bibliographiques
Auteurs principaux: Xingkun He, Can Wang, Rongyao Zheng, Xiwen Li
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
GPR
Q
Accès en ligne:https://doaj.org/article/49369f7eac084983a72749f85e32ef09
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