Matches in SemOpenAlex for { <https://semopenalex.org/work/W4225577961> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4225577961 endingPage "1" @default.
- W4225577961 startingPage "1" @default.
- W4225577961 abstract "In seismic data processing, attenuation of erratic noise is a challenging task due to the unknown noise distribution. Erratic noise consists of high amplitude peaks and conventional sparse transforms based on least-square (LS) approach that is not appropriate for erratic noise attenuation. An alternative approach, where the data with erratic noise are transformed into pseudodata and then denoised based on fast discrete curvelet transform with structure-oriented space-varying median filtering, is performed and achieves better attenuation. However, the fast discrete curvelet transform with a fixed basis lacks the adaptivity for various data patterns of seismic data. Hence, in this article, we propose a double sparsity dictionary learning (DSDL) method which performs denoising and also preserves the original features of seismic data. The proposed method combines the strength of the analytical transform and adaptive transform to attenuate both random noise and erratic noise in data. The performance of proposed DSDL method is studied on synthetic datasets and field datasets. The numerical results demonstrate that the proposed method gives a better signal-to-noise ratio (SNR), a lower mean-squared error, and energy values for the denoised data in comparison to the existing methods." @default.
- W4225577961 created "2022-05-05" @default.
- W4225577961 creator A5042054881 @default.
- W4225577961 creator A5047420983 @default.
- W4225577961 creator A5067833604 @default.
- W4225577961 creator A5085213766 @default.
- W4225577961 date "2022-01-01" @default.
- W4225577961 modified "2023-10-16" @default.
- W4225577961 title "Erratic Noise Attenuation Using Double Sparsity Dictionary Learning Method" @default.
- W4225577961 doi "https://doi.org/10.1109/tgrs.2022.3164460" @default.
- W4225577961 hasPublicationYear "2022" @default.
- W4225577961 type Work @default.
- W4225577961 citedByCount "1" @default.
- W4225577961 countsByYear W42255779612023 @default.
- W4225577961 crossrefType "journal-article" @default.
- W4225577961 hasAuthorship W4225577961A5042054881 @default.
- W4225577961 hasAuthorship W4225577961A5047420983 @default.
- W4225577961 hasAuthorship W4225577961A5067833604 @default.
- W4225577961 hasAuthorship W4225577961A5085213766 @default.
- W4225577961 hasConcept C105795698 @default.
- W4225577961 hasConcept C11413529 @default.
- W4225577961 hasConcept C115961682 @default.
- W4225577961 hasConcept C120665830 @default.
- W4225577961 hasConcept C121332964 @default.
- W4225577961 hasConcept C131720326 @default.
- W4225577961 hasConcept C153180895 @default.
- W4225577961 hasConcept C154945302 @default.
- W4225577961 hasConcept C163294075 @default.
- W4225577961 hasConcept C184652730 @default.
- W4225577961 hasConcept C186370098 @default.
- W4225577961 hasConcept C196216189 @default.
- W4225577961 hasConcept C29265498 @default.
- W4225577961 hasConcept C33923547 @default.
- W4225577961 hasConcept C41008148 @default.
- W4225577961 hasConcept C47432892 @default.
- W4225577961 hasConcept C99498987 @default.
- W4225577961 hasConceptScore W4225577961C105795698 @default.
- W4225577961 hasConceptScore W4225577961C11413529 @default.
- W4225577961 hasConceptScore W4225577961C115961682 @default.
- W4225577961 hasConceptScore W4225577961C120665830 @default.
- W4225577961 hasConceptScore W4225577961C121332964 @default.
- W4225577961 hasConceptScore W4225577961C131720326 @default.
- W4225577961 hasConceptScore W4225577961C153180895 @default.
- W4225577961 hasConceptScore W4225577961C154945302 @default.
- W4225577961 hasConceptScore W4225577961C163294075 @default.
- W4225577961 hasConceptScore W4225577961C184652730 @default.
- W4225577961 hasConceptScore W4225577961C186370098 @default.
- W4225577961 hasConceptScore W4225577961C196216189 @default.
- W4225577961 hasConceptScore W4225577961C29265498 @default.
- W4225577961 hasConceptScore W4225577961C33923547 @default.
- W4225577961 hasConceptScore W4225577961C41008148 @default.
- W4225577961 hasConceptScore W4225577961C47432892 @default.
- W4225577961 hasConceptScore W4225577961C99498987 @default.
- W4225577961 hasFunder F4320334771 @default.
- W4225577961 hasLocation W42255779611 @default.
- W4225577961 hasOpenAccess W4225577961 @default.
- W4225577961 hasPrimaryLocation W42255779611 @default.
- W4225577961 hasRelatedWork W15853131 @default.
- W4225577961 hasRelatedWork W2017244203 @default.
- W4225577961 hasRelatedWork W2037328875 @default.
- W4225577961 hasRelatedWork W2067893425 @default.
- W4225577961 hasRelatedWork W2126920443 @default.
- W4225577961 hasRelatedWork W2140363291 @default.
- W4225577961 hasRelatedWork W23086544 @default.
- W4225577961 hasRelatedWork W2367537358 @default.
- W4225577961 hasRelatedWork W2379607465 @default.
- W4225577961 hasRelatedWork W3134467366 @default.
- W4225577961 isParatext "false" @default.
- W4225577961 isRetracted "false" @default.
- W4225577961 workType "article" @default.