Cargando…
Application of K-means algorithm to Werner deconvolution solutions for depth and image estimations
One of the most popular techniques for computer-assisted solution estimates for magnetics and gravity field data is Werner deconvolution. The approaches frequently produce erratic results and may not always forecast the maximum number of the geologic entity that produces them due to the intrinsic in...
Autores principales: | Eshimiakhe, Daniel, Lawal, Kola |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676560/ https://www.ncbi.nlm.nih.gov/pubmed/36419655 http://dx.doi.org/10.1016/j.heliyon.2022.e11665 |
Ejemplares similares
-
Image Deconvolution by Means of Frequency Blur Invariant Concept
por: Honarvar Shakibaei, Barmak, et al.
Publicado: (2014) -
Application of regularized Richardson–Lucy algorithm for deconvolution of confocal microscopy images
por: Laasmaa, M, et al.
Publicado: (2011) -
Estimation of pollutant sources in multi-zone buildings through different deconvolution algorithms
por: Li, Mo, et al.
Publicado: (2021) -
Decomposition of skin conductance data by means of nonnegative deconvolution
por: Benedek, Mathias, et al.
Publicado: (2010) -
A Deconvolutional Deblurring Algorithm Based on Short- and Long-Exposure Images
por: Bai, Yang, et al.
Publicado: (2022)