Matches in SemOpenAlex for { <https://semopenalex.org/work/W2772476582> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2772476582 endingPage "99" @default.
- W2772476582 startingPage "92" @default.
- W2772476582 abstract "Speckle noise has always been a particularly tricky problem in improving the ranging capability and accuracy of Lidar system especially in harsh environment. Currently, effective speckle de-noising techniques are extremely scarce and should be further developed. In this study, a speckle noise reduction technique has been proposed based on independent component analysis (ICA). Since normally few changes happen in the shape of laser pulse itself, the authors employed the laser source as a reference pulse and executed the ICA decomposition to find the optimal matching position. In order to achieve the self-adaptability of algorithm, local Mean Square Error (MSE) has been defined as an appropriate criterion for investigating the iteration results. The obtained experimental results demonstrated that the self-adaptive pulse-matching ICA (PM-ICA) method could effectively decrease the speckle noise and recover the useful Lidar echo signal component with high quality. Especially, the proposed method achieves 4 dB more improvement of signal-to-noise ratio (SNR) than a traditional homomorphic wavelet method." @default.
- W2772476582 created "2017-12-22" @default.
- W2772476582 creator A5031961062 @default.
- W2772476582 creator A5057874628 @default.
- W2772476582 creator A5058798795 @default.
- W2772476582 creator A5090622915 @default.
- W2772476582 date "2018-04-01" @default.
- W2772476582 modified "2023-09-27" @default.
- W2772476582 title "Speckle noise reduction technique for Lidar echo signal based on self-adaptive pulse-matching independent component analysis" @default.
- W2772476582 cites W1997176100 @default.
- W2772476582 cites W2003053071 @default.
- W2772476582 cites W2010819732 @default.
- W2772476582 cites W2024104872 @default.
- W2772476582 cites W2044404961 @default.
- W2772476582 cites W2077023995 @default.
- W2772476582 cites W2121467028 @default.
- W2772476582 cites W2123649031 @default.
- W2772476582 cites W2155305428 @default.
- W2772476582 cites W2159509402 @default.
- W2772476582 cites W2163358122 @default.
- W2772476582 cites W2294750696 @default.
- W2772476582 cites W4242575920 @default.
- W2772476582 doi "https://doi.org/10.1016/j.optlaseng.2017.12.002" @default.
- W2772476582 hasPublicationYear "2018" @default.
- W2772476582 type Work @default.
- W2772476582 sameAs 2772476582 @default.
- W2772476582 citedByCount "10" @default.
- W2772476582 countsByYear W27724765822019 @default.
- W2772476582 countsByYear W27724765822020 @default.
- W2772476582 countsByYear W27724765822021 @default.
- W2772476582 countsByYear W27724765822022 @default.
- W2772476582 countsByYear W27724765822023 @default.
- W2772476582 crossrefType "journal-article" @default.
- W2772476582 hasAuthorship W2772476582A5031961062 @default.
- W2772476582 hasAuthorship W2772476582A5057874628 @default.
- W2772476582 hasAuthorship W2772476582A5058798795 @default.
- W2772476582 hasAuthorship W2772476582A5090622915 @default.
- W2772476582 hasConcept C102290492 @default.
- W2772476582 hasConcept C115051666 @default.
- W2772476582 hasConcept C115961682 @default.
- W2772476582 hasConcept C120665830 @default.
- W2772476582 hasConcept C121332964 @default.
- W2772476582 hasConcept C13944312 @default.
- W2772476582 hasConcept C154945302 @default.
- W2772476582 hasConcept C163294075 @default.
- W2772476582 hasConcept C180940675 @default.
- W2772476582 hasConcept C199360897 @default.
- W2772476582 hasConcept C2779843651 @default.
- W2772476582 hasConcept C41008148 @default.
- W2772476582 hasConcept C47432892 @default.
- W2772476582 hasConcept C51399673 @default.
- W2772476582 hasConcept C51432778 @default.
- W2772476582 hasConcept C76155785 @default.
- W2772476582 hasConcept C99498987 @default.
- W2772476582 hasConceptScore W2772476582C102290492 @default.
- W2772476582 hasConceptScore W2772476582C115051666 @default.
- W2772476582 hasConceptScore W2772476582C115961682 @default.
- W2772476582 hasConceptScore W2772476582C120665830 @default.
- W2772476582 hasConceptScore W2772476582C121332964 @default.
- W2772476582 hasConceptScore W2772476582C13944312 @default.
- W2772476582 hasConceptScore W2772476582C154945302 @default.
- W2772476582 hasConceptScore W2772476582C163294075 @default.
- W2772476582 hasConceptScore W2772476582C180940675 @default.
- W2772476582 hasConceptScore W2772476582C199360897 @default.
- W2772476582 hasConceptScore W2772476582C2779843651 @default.
- W2772476582 hasConceptScore W2772476582C41008148 @default.
- W2772476582 hasConceptScore W2772476582C47432892 @default.
- W2772476582 hasConceptScore W2772476582C51399673 @default.
- W2772476582 hasConceptScore W2772476582C51432778 @default.
- W2772476582 hasConceptScore W2772476582C76155785 @default.
- W2772476582 hasConceptScore W2772476582C99498987 @default.
- W2772476582 hasFunder F4320321106 @default.
- W2772476582 hasFunder F4320322769 @default.
- W2772476582 hasLocation W27724765821 @default.
- W2772476582 hasOpenAccess W2772476582 @default.
- W2772476582 hasPrimaryLocation W27724765821 @default.
- W2772476582 hasRelatedWork W1858031353 @default.
- W2772476582 hasRelatedWork W2003938842 @default.
- W2772476582 hasRelatedWork W2024325022 @default.
- W2772476582 hasRelatedWork W2037709109 @default.
- W2772476582 hasRelatedWork W2056234420 @default.
- W2772476582 hasRelatedWork W2124194166 @default.
- W2772476582 hasRelatedWork W2357150992 @default.
- W2772476582 hasRelatedWork W2368855668 @default.
- W2772476582 hasRelatedWork W2972263407 @default.
- W2772476582 hasRelatedWork W2087755006 @default.
- W2772476582 hasVolume "103" @default.
- W2772476582 isParatext "false" @default.
- W2772476582 isRetracted "false" @default.
- W2772476582 magId "2772476582" @default.
- W2772476582 workType "article" @default.