Matches in SemOpenAlex for { <https://semopenalex.org/work/W3039356810> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W3039356810 endingPage "1129" @default.
- W3039356810 startingPage "1118" @default.
- W3039356810 abstract "Through-the-wall radar imaging is a sensing technology that can be used by first responders to see through obscure barriers during search-and-rescue missions or deployed by law enforcement and military personnel to maintain situational awareness during tactical operations. However, the strong reflections from the front wall and other obstacles render the detection of stationary targets very difficult. In this article, a learning-based approach is proposed to mitigate the effect of the wall and background clutter. A sparse autoencoder with a low-rank projection is developed to mitigate the wall clutter and recover the target signal. The weights of the proposed autoencoder are determined by solving an augmented Lagrange multiplier optimization problem, and the regularization parameters are estimated using the Bayesian optimization technique. Experiments using real data from a stepped-frequency radar were conducted to illustrate its effectiveness for wall clutter removal. The results show that the proposed method achieves superior performance compared with the existing approaches." @default.
- W3039356810 created "2020-07-10" @default.
- W3039356810 creator A5072662577 @default.
- W3039356810 creator A5088693326 @default.
- W3039356810 date "2021-02-01" @default.
- W3039356810 modified "2023-09-23" @default.
- W3039356810 title "Clutter Removal in Through-the-Wall Radar Imaging Using Sparse Autoencoder With Low-Rank Projection" @default.
- W3039356810 cites W1629641951 @default.
- W3039356810 cites W1809990924 @default.
- W3039356810 cites W1967589385 @default.
- W3039356810 cites W1972149108 @default.
- W3039356810 cites W1994426673 @default.
- W3039356810 cites W1996965250 @default.
- W3039356810 cites W2023403064 @default.
- W3039356810 cites W2041210472 @default.
- W3039356810 cites W2076363162 @default.
- W3039356810 cites W2076940249 @default.
- W3039356810 cites W2077406964 @default.
- W3039356810 cites W2088748973 @default.
- W3039356810 cites W2093505553 @default.
- W3039356810 cites W2103972604 @default.
- W3039356810 cites W2109828957 @default.
- W3039356810 cites W2150383969 @default.
- W3039356810 cites W2150619001 @default.
- W3039356810 cites W2157770256 @default.
- W3039356810 cites W2321086338 @default.
- W3039356810 cites W2323377870 @default.
- W3039356810 cites W2395285288 @default.
- W3039356810 cites W2424966450 @default.
- W3039356810 cites W2557729753 @default.
- W3039356810 cites W2598232788 @default.
- W3039356810 cites W2756637919 @default.
- W3039356810 cites W2776310520 @default.
- W3039356810 cites W2802152445 @default.
- W3039356810 cites W2808077846 @default.
- W3039356810 cites W2887773909 @default.
- W3039356810 cites W2893630558 @default.
- W3039356810 cites W2899913359 @default.
- W3039356810 cites W2900550123 @default.
- W3039356810 cites W2960914750 @default.
- W3039356810 cites W3010892632 @default.
- W3039356810 doi "https://doi.org/10.1109/tgrs.2020.3004331" @default.
- W3039356810 hasPublicationYear "2021" @default.
- W3039356810 type Work @default.
- W3039356810 sameAs 3039356810 @default.
- W3039356810 citedByCount "12" @default.
- W3039356810 countsByYear W30393568102021 @default.
- W3039356810 countsByYear W30393568102022 @default.
- W3039356810 countsByYear W30393568102023 @default.
- W3039356810 crossrefType "journal-article" @default.
- W3039356810 hasAuthorship W3039356810A5072662577 @default.
- W3039356810 hasAuthorship W3039356810A5088693326 @default.
- W3039356810 hasConcept C101738243 @default.
- W3039356810 hasConcept C108583219 @default.
- W3039356810 hasConcept C10929652 @default.
- W3039356810 hasConcept C132094186 @default.
- W3039356810 hasConcept C153180895 @default.
- W3039356810 hasConcept C154945302 @default.
- W3039356810 hasConcept C31972630 @default.
- W3039356810 hasConcept C41008148 @default.
- W3039356810 hasConcept C554190296 @default.
- W3039356810 hasConcept C76155785 @default.
- W3039356810 hasConcept C77052588 @default.
- W3039356810 hasConceptScore W3039356810C101738243 @default.
- W3039356810 hasConceptScore W3039356810C108583219 @default.
- W3039356810 hasConceptScore W3039356810C10929652 @default.
- W3039356810 hasConceptScore W3039356810C132094186 @default.
- W3039356810 hasConceptScore W3039356810C153180895 @default.
- W3039356810 hasConceptScore W3039356810C154945302 @default.
- W3039356810 hasConceptScore W3039356810C31972630 @default.
- W3039356810 hasConceptScore W3039356810C41008148 @default.
- W3039356810 hasConceptScore W3039356810C554190296 @default.
- W3039356810 hasConceptScore W3039356810C76155785 @default.
- W3039356810 hasConceptScore W3039356810C77052588 @default.
- W3039356810 hasFunder F4320334704 @default.
- W3039356810 hasIssue "2" @default.
- W3039356810 hasLocation W30393568101 @default.
- W3039356810 hasOpenAccess W3039356810 @default.
- W3039356810 hasPrimaryLocation W30393568101 @default.
- W3039356810 hasRelatedWork W1489399123 @default.
- W3039356810 hasRelatedWork W1550912305 @default.
- W3039356810 hasRelatedWork W2032041146 @default.
- W3039356810 hasRelatedWork W2141294180 @default.
- W3039356810 hasRelatedWork W2292254049 @default.
- W3039356810 hasRelatedWork W2356774301 @default.
- W3039356810 hasRelatedWork W2357365693 @default.
- W3039356810 hasRelatedWork W2897995864 @default.
- W3039356810 hasRelatedWork W2998168123 @default.
- W3039356810 hasRelatedWork W4287995534 @default.
- W3039356810 hasVolume "59" @default.
- W3039356810 isParatext "false" @default.
- W3039356810 isRetracted "false" @default.
- W3039356810 magId "3039356810" @default.
- W3039356810 workType "article" @default.