Matches in SemOpenAlex for { <https://semopenalex.org/work/W2586403931> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2586403931 abstract "Tiny target detections, especially power line detection, have received great attention due to its critical role in ensuring the flight safety of low-flying unmanned aerial vehicles (UAVs). In this paper, an accurate and robust power line detection method is proposed, wherein background noise is mitigated by an embedded convolution neural network (CNN) classifier before conducting the final power line extractions. Our proposed method operates in three steps: 1) extract edge features of power lines from a testing image, 2) employ a CNN classifier to remove the background noise, 3) use a Hough-Transform (HT) based fine-selection module to locate power lines. Comprehensive experiments demonstrate the superiority of the proposed method, compared to the state-of-the-art methods." @default.
- W2586403931 created "2017-02-17" @default.
- W2586403931 creator A5001469325 @default.
- W2586403931 creator A5038809760 @default.
- W2586403931 creator A5061834718 @default.
- W2586403931 date "2016-12-01" @default.
- W2586403931 modified "2023-10-16" @default.
- W2586403931 title "Power line detection via background noise removal" @default.
- W2586403931 cites W1532253769 @default.
- W2586403931 cites W1534794255 @default.
- W2586403931 cites W1645888340 @default.
- W2586403931 cites W1979975384 @default.
- W2586403931 cites W1980601381 @default.
- W2586403931 cites W1991605728 @default.
- W2586403931 cites W1995865273 @default.
- W2586403931 cites W2004388398 @default.
- W2586403931 cites W2029895480 @default.
- W2586403931 cites W2092671006 @default.
- W2586403931 cites W2107391856 @default.
- W2586403931 cites W2118321669 @default.
- W2586403931 cites W2147800946 @default.
- W2586403931 cites W2147895461 @default.
- W2586403931 cites W2165080754 @default.
- W2586403931 doi "https://doi.org/10.1109/globalsip.2016.7905967" @default.
- W2586403931 hasPublicationYear "2016" @default.
- W2586403931 type Work @default.
- W2586403931 sameAs 2586403931 @default.
- W2586403931 citedByCount "13" @default.
- W2586403931 countsByYear W25864039312018 @default.
- W2586403931 countsByYear W25864039312019 @default.
- W2586403931 countsByYear W25864039312021 @default.
- W2586403931 countsByYear W25864039312022 @default.
- W2586403931 countsByYear W25864039312023 @default.
- W2586403931 crossrefType "proceedings-article" @default.
- W2586403931 hasAuthorship W2586403931A5001469325 @default.
- W2586403931 hasAuthorship W2586403931A5038809760 @default.
- W2586403931 hasAuthorship W2586403931A5061834718 @default.
- W2586403931 hasConcept C115961682 @default.
- W2586403931 hasConcept C119599485 @default.
- W2586403931 hasConcept C121332964 @default.
- W2586403931 hasConcept C127413603 @default.
- W2586403931 hasConcept C154945302 @default.
- W2586403931 hasConcept C163258240 @default.
- W2586403931 hasConcept C198352243 @default.
- W2586403931 hasConcept C2524010 @default.
- W2586403931 hasConcept C33923547 @default.
- W2586403931 hasConcept C41008148 @default.
- W2586403931 hasConcept C62520636 @default.
- W2586403931 hasConcept C99498987 @default.
- W2586403931 hasConceptScore W2586403931C115961682 @default.
- W2586403931 hasConceptScore W2586403931C119599485 @default.
- W2586403931 hasConceptScore W2586403931C121332964 @default.
- W2586403931 hasConceptScore W2586403931C127413603 @default.
- W2586403931 hasConceptScore W2586403931C154945302 @default.
- W2586403931 hasConceptScore W2586403931C163258240 @default.
- W2586403931 hasConceptScore W2586403931C198352243 @default.
- W2586403931 hasConceptScore W2586403931C2524010 @default.
- W2586403931 hasConceptScore W2586403931C33923547 @default.
- W2586403931 hasConceptScore W2586403931C41008148 @default.
- W2586403931 hasConceptScore W2586403931C62520636 @default.
- W2586403931 hasConceptScore W2586403931C99498987 @default.
- W2586403931 hasLocation W25864039311 @default.
- W2586403931 hasOpenAccess W2586403931 @default.
- W2586403931 hasPrimaryLocation W25864039311 @default.
- W2586403931 hasRelatedWork W1507467633 @default.
- W2586403931 hasRelatedWork W2038390700 @default.
- W2586403931 hasRelatedWork W2366233560 @default.
- W2586403931 hasRelatedWork W2564298065 @default.
- W2586403931 hasRelatedWork W2748952813 @default.
- W2586403931 hasRelatedWork W2899084033 @default.
- W2586403931 hasRelatedWork W4226096011 @default.
- W2586403931 hasRelatedWork W4240542153 @default.
- W2586403931 hasRelatedWork W4309745344 @default.
- W2586403931 hasRelatedWork W654004657 @default.
- W2586403931 isParatext "false" @default.
- W2586403931 isRetracted "false" @default.
- W2586403931 magId "2586403931" @default.
- W2586403931 workType "article" @default.