Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089173924> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W3089173924 endingPage "5217" @default.
- W3089173924 startingPage "5208" @default.
- W3089173924 abstract "To accomplish reliable pedestrian detection using unmanned aerial vehicles (UAVs) under night-time conditions, an image enhancement method is developed in this article to improve the low-illumination image quality. First, the image brightness is mapped to a desirable level by a hyperbolic tangent curve. Second, the block-matching and 3-D filtering methods are developed for an unsharp filter in YCbCr color space for image denoising and sharpening. Finally, pedestrian detection is performed using a convolutional neural network model to complete the surveillance task. Experimental results show that the Minkowski distance measurement index of enhanced images is increased to 0.975, and the detection accuracies, in F-measure and confidence coefficient, reach 0.907 and 0.840, respectively, which are the highest as compared with other image enhancement methods. This developed method has potential values for night-time UAV visual monitoring in smart city applications." @default.
- W3089173924 created "2020-10-01" @default.
- W3089173924 creator A5013364501 @default.
- W3089173924 creator A5019424682 @default.
- W3089173924 creator A5020022566 @default.
- W3089173924 creator A5080122070 @default.
- W3089173924 creator A5082594912 @default.
- W3089173924 date "2021-08-01" @default.
- W3089173924 modified "2023-10-14" @default.
- W3089173924 title "Low-Illumination Image Enhancement for Night-Time UAV Pedestrian Detection" @default.
- W3089173924 cites W1797209720 @default.
- W3089173924 cites W1825152473 @default.
- W3089173924 cites W1995550639 @default.
- W3089173924 cites W2057321661 @default.
- W3089173924 cites W2074227110 @default.
- W3089173924 cites W2144783994 @default.
- W3089173924 cites W2254039850 @default.
- W3089173924 cites W2265275372 @default.
- W3089173924 cites W2282131058 @default.
- W3089173924 cites W2332733735 @default.
- W3089173924 cites W2405492408 @default.
- W3089173924 cites W2412926690 @default.
- W3089173924 cites W2468596194 @default.
- W3089173924 cites W2508048393 @default.
- W3089173924 cites W2527329788 @default.
- W3089173924 cites W2588353154 @default.
- W3089173924 cites W2595408708 @default.
- W3089173924 cites W2597364644 @default.
- W3089173924 cites W2755383609 @default.
- W3089173924 cites W2765911741 @default.
- W3089173924 cites W2773423866 @default.
- W3089173924 cites W2782796222 @default.
- W3089173924 cites W2785615674 @default.
- W3089173924 cites W2791961641 @default.
- W3089173924 cites W2793890232 @default.
- W3089173924 cites W2796412058 @default.
- W3089173924 cites W2806710557 @default.
- W3089173924 cites W2887776801 @default.
- W3089173924 cites W2912237020 @default.
- W3089173924 cites W2942617529 @default.
- W3089173924 cites W2954941265 @default.
- W3089173924 cites W2963766909 @default.
- W3089173924 cites W2965836860 @default.
- W3089173924 cites W2970680552 @default.
- W3089173924 cites W2981718299 @default.
- W3089173924 cites W3003838261 @default.
- W3089173924 doi "https://doi.org/10.1109/tii.2020.3026036" @default.
- W3089173924 hasPublicationYear "2021" @default.
- W3089173924 type Work @default.
- W3089173924 sameAs 3089173924 @default.
- W3089173924 citedByCount "20" @default.
- W3089173924 countsByYear W30891739242021 @default.
- W3089173924 countsByYear W30891739242022 @default.
- W3089173924 countsByYear W30891739242023 @default.
- W3089173924 crossrefType "journal-article" @default.
- W3089173924 hasAuthorship W3089173924A5013364501 @default.
- W3089173924 hasAuthorship W3089173924A5019424682 @default.
- W3089173924 hasAuthorship W3089173924A5020022566 @default.
- W3089173924 hasAuthorship W3089173924A5080122070 @default.
- W3089173924 hasAuthorship W3089173924A5082594912 @default.
- W3089173924 hasConcept C127413603 @default.
- W3089173924 hasConcept C154945302 @default.
- W3089173924 hasConcept C22212356 @default.
- W3089173924 hasConcept C2777113093 @default.
- W3089173924 hasConcept C2780156472 @default.
- W3089173924 hasConcept C31972630 @default.
- W3089173924 hasConcept C41008148 @default.
- W3089173924 hasConceptScore W3089173924C127413603 @default.
- W3089173924 hasConceptScore W3089173924C154945302 @default.
- W3089173924 hasConceptScore W3089173924C22212356 @default.
- W3089173924 hasConceptScore W3089173924C2777113093 @default.
- W3089173924 hasConceptScore W3089173924C2780156472 @default.
- W3089173924 hasConceptScore W3089173924C31972630 @default.
- W3089173924 hasConceptScore W3089173924C41008148 @default.
- W3089173924 hasFunder F4320321001 @default.
- W3089173924 hasFunder F4320321921 @default.
- W3089173924 hasFunder F4320335966 @default.
- W3089173924 hasIssue "8" @default.
- W3089173924 hasLocation W30891739241 @default.
- W3089173924 hasOpenAccess W3089173924 @default.
- W3089173924 hasPrimaryLocation W30891739241 @default.
- W3089173924 hasRelatedWork W2048399350 @default.
- W3089173924 hasRelatedWork W2129431236 @default.
- W3089173924 hasRelatedWork W2141354157 @default.
- W3089173924 hasRelatedWork W2142681052 @default.
- W3089173924 hasRelatedWork W2169785767 @default.
- W3089173924 hasRelatedWork W2552905889 @default.
- W3089173924 hasRelatedWork W2778608852 @default.
- W3089173924 hasRelatedWork W2919889606 @default.
- W3089173924 hasRelatedWork W584778598 @default.
- W3089173924 hasRelatedWork W73785947 @default.
- W3089173924 hasVolume "17" @default.
- W3089173924 isParatext "false" @default.
- W3089173924 isRetracted "false" @default.
- W3089173924 magId "3089173924" @default.
- W3089173924 workType "article" @default.