Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382681095> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4382681095 abstract "Abstract Although target detection algorithms based on deep learning have achieved good results in the detection of side-scan sonar underwater targets, their false and missed detection rates are high for multiple densely arranged and overlapping underwater targets. To address this problem, a side-scan sonar underwater target segmentation model based on the blended hybrid dilated convolution and pyramid split attention UNet (BHP-UNet) algorithm is proposed in this paper. First, the blended hybrid dilated convolution module is adopted to improve the ability of the model to learn deep semantics and shallow features while improving the receptive field. Second, the pyramid split attention module is introduced to establish a long-term dependency between global and local information while processing multi-scale spatial features. Three sets of experimental results show that the BHP-UNet model proposed in this paper has better segmentation performance than the conventional fully convolutional network, UNet, and DeepLabv3+ models, and it is able to segment dense and overlapping targets to a certain extent. The proposed model will have significance as a guide for practical applications." @default.
- W4382681095 created "2023-07-01" @default.
- W4382681095 creator A5007293606 @default.
- W4382681095 creator A5045745804 @default.
- W4382681095 creator A5046853018 @default.
- W4382681095 creator A5070831671 @default.
- W4382681095 date "2023-06-30" @default.
- W4382681095 modified "2023-10-12" @default.
- W4382681095 title "Side-scan sonar underwater target segmentation using the BHP-UNet" @default.
- W4382681095 cites W1901129140 @default.
- W4382681095 cites W1903029394 @default.
- W4382681095 cites W1954412909 @default.
- W4382681095 cites W2091526943 @default.
- W4382681095 cites W2112215788 @default.
- W4382681095 cites W2115490640 @default.
- W4382681095 cites W2136145324 @default.
- W4382681095 cites W2139935477 @default.
- W4382681095 cites W2140742677 @default.
- W4382681095 cites W2412782625 @default.
- W4382681095 cites W2574603027 @default.
- W4382681095 cites W2752782242 @default.
- W4382681095 cites W2783265781 @default.
- W4382681095 cites W2884585870 @default.
- W4382681095 cites W2928481976 @default.
- W4382681095 cites W2964309882 @default.
- W4382681095 cites W2993483871 @default.
- W4382681095 cites W3032638656 @default.
- W4382681095 cites W3088221816 @default.
- W4382681095 cites W3109992451 @default.
- W4382681095 cites W4245682905 @default.
- W4382681095 cites W4284964772 @default.
- W4382681095 doi "https://doi.org/10.1186/s13634-023-01040-z" @default.
- W4382681095 hasPublicationYear "2023" @default.
- W4382681095 type Work @default.
- W4382681095 citedByCount "0" @default.
- W4382681095 crossrefType "journal-article" @default.
- W4382681095 hasAuthorship W4382681095A5007293606 @default.
- W4382681095 hasAuthorship W4382681095A5045745804 @default.
- W4382681095 hasAuthorship W4382681095A5046853018 @default.
- W4382681095 hasAuthorship W4382681095A5070831671 @default.
- W4382681095 hasBestOaLocation W43826810951 @default.
- W4382681095 hasConcept C111368507 @default.
- W4382681095 hasConcept C124504099 @default.
- W4382681095 hasConcept C127313418 @default.
- W4382681095 hasConcept C142575187 @default.
- W4382681095 hasConcept C153180895 @default.
- W4382681095 hasConcept C154945302 @default.
- W4382681095 hasConcept C2524010 @default.
- W4382681095 hasConcept C2776355146 @default.
- W4382681095 hasConcept C31972630 @default.
- W4382681095 hasConcept C33923547 @default.
- W4382681095 hasConcept C41008148 @default.
- W4382681095 hasConcept C45347329 @default.
- W4382681095 hasConcept C50644808 @default.
- W4382681095 hasConcept C555745239 @default.
- W4382681095 hasConcept C89600930 @default.
- W4382681095 hasConcept C98083399 @default.
- W4382681095 hasConceptScore W4382681095C111368507 @default.
- W4382681095 hasConceptScore W4382681095C124504099 @default.
- W4382681095 hasConceptScore W4382681095C127313418 @default.
- W4382681095 hasConceptScore W4382681095C142575187 @default.
- W4382681095 hasConceptScore W4382681095C153180895 @default.
- W4382681095 hasConceptScore W4382681095C154945302 @default.
- W4382681095 hasConceptScore W4382681095C2524010 @default.
- W4382681095 hasConceptScore W4382681095C2776355146 @default.
- W4382681095 hasConceptScore W4382681095C31972630 @default.
- W4382681095 hasConceptScore W4382681095C33923547 @default.
- W4382681095 hasConceptScore W4382681095C41008148 @default.
- W4382681095 hasConceptScore W4382681095C45347329 @default.
- W4382681095 hasConceptScore W4382681095C50644808 @default.
- W4382681095 hasConceptScore W4382681095C555745239 @default.
- W4382681095 hasConceptScore W4382681095C89600930 @default.
- W4382681095 hasConceptScore W4382681095C98083399 @default.
- W4382681095 hasFunder F4320321001 @default.
- W4382681095 hasFunder F4320333688 @default.
- W4382681095 hasIssue "1" @default.
- W4382681095 hasLocation W43826810951 @default.
- W4382681095 hasOpenAccess W4382681095 @default.
- W4382681095 hasPrimaryLocation W43826810951 @default.
- W4382681095 hasRelatedWork W1507266234 @default.
- W4382681095 hasRelatedWork W1669643531 @default.
- W4382681095 hasRelatedWork W2110230079 @default.
- W4382681095 hasRelatedWork W2117664411 @default.
- W4382681095 hasRelatedWork W2117933325 @default.
- W4382681095 hasRelatedWork W2122581818 @default.
- W4382681095 hasRelatedWork W2159066190 @default.
- W4382681095 hasRelatedWork W2549936415 @default.
- W4382681095 hasRelatedWork W2739874619 @default.
- W4382681095 hasRelatedWork W1967061043 @default.
- W4382681095 hasVolume "2023" @default.
- W4382681095 isParatext "false" @default.
- W4382681095 isRetracted "false" @default.
- W4382681095 workType "article" @default.