Matches in SemOpenAlex for { <https://semopenalex.org/work/W4294142531> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4294142531 endingPage "609" @default.
- W4294142531 startingPage "603" @default.
- W4294142531 abstract "The automatic extraction of urban buildings based on remote sensing images is important for urban dynamic monitoring, planning, and management. The deep learning has significantly helped improve the accuracy of building extraction. Most remote sensing image segmentation methods are based on convolution neural networks, which comprise encoding and decoding structures. However, the convolution operation cannot learn the remote spatial correlation. Herein we propose the Shift Window Attention of building SWAB-net based on the transformer model to solve the semantic segmentation of building objects. Moreover, the shift window strategy was adopted to determine buildings using urban satellite images with 4 m resolution to extract the features of sequence images efficiently and accurately. We evaluated the proposed network on SpaceNet 7, and the results of comprehensive analysis showed that the network is conducive for efficient remote sensing image research." @default.
- W4294142531 created "2022-09-02" @default.
- W4294142531 creator A5007978503 @default.
- W4294142531 creator A5039636559 @default.
- W4294142531 creator A5072621879 @default.
- W4294142531 creator A5084550889 @default.
- W4294142531 date "2022-09-01" @default.
- W4294142531 modified "2023-10-17" @default.
- W4294142531 title "Transformer for the Building Segmentation of Urban Remote Sensing" @default.
- W4294142531 cites W2308318555 @default.
- W4294142531 cites W2792491666 @default.
- W4294142531 cites W2886397424 @default.
- W4294142531 cites W2902036000 @default.
- W4294142531 cites W2937933649 @default.
- W4294142531 cites W2963881378 @default.
- W4294142531 cites W2966450079 @default.
- W4294142531 cites W3025050498 @default.
- W4294142531 cites W3087594737 @default.
- W4294142531 cites W3112979587 @default.
- W4294142531 doi "https://doi.org/10.14358/pers.21-00076r2" @default.
- W4294142531 hasPublicationYear "2022" @default.
- W4294142531 type Work @default.
- W4294142531 citedByCount "1" @default.
- W4294142531 countsByYear W42941425312023 @default.
- W4294142531 crossrefType "journal-article" @default.
- W4294142531 hasAuthorship W4294142531A5007978503 @default.
- W4294142531 hasAuthorship W4294142531A5039636559 @default.
- W4294142531 hasAuthorship W4294142531A5072621879 @default.
- W4294142531 hasAuthorship W4294142531A5084550889 @default.
- W4294142531 hasConcept C108583219 @default.
- W4294142531 hasConcept C119599485 @default.
- W4294142531 hasConcept C124504099 @default.
- W4294142531 hasConcept C127413603 @default.
- W4294142531 hasConcept C154945302 @default.
- W4294142531 hasConcept C165801399 @default.
- W4294142531 hasConcept C205649164 @default.
- W4294142531 hasConcept C31972630 @default.
- W4294142531 hasConcept C41008148 @default.
- W4294142531 hasConcept C62649853 @default.
- W4294142531 hasConcept C66322947 @default.
- W4294142531 hasConcept C81363708 @default.
- W4294142531 hasConcept C89600930 @default.
- W4294142531 hasConceptScore W4294142531C108583219 @default.
- W4294142531 hasConceptScore W4294142531C119599485 @default.
- W4294142531 hasConceptScore W4294142531C124504099 @default.
- W4294142531 hasConceptScore W4294142531C127413603 @default.
- W4294142531 hasConceptScore W4294142531C154945302 @default.
- W4294142531 hasConceptScore W4294142531C165801399 @default.
- W4294142531 hasConceptScore W4294142531C205649164 @default.
- W4294142531 hasConceptScore W4294142531C31972630 @default.
- W4294142531 hasConceptScore W4294142531C41008148 @default.
- W4294142531 hasConceptScore W4294142531C62649853 @default.
- W4294142531 hasConceptScore W4294142531C66322947 @default.
- W4294142531 hasConceptScore W4294142531C81363708 @default.
- W4294142531 hasConceptScore W4294142531C89600930 @default.
- W4294142531 hasIssue "9" @default.
- W4294142531 hasLocation W42941425311 @default.
- W4294142531 hasOpenAccess W4294142531 @default.
- W4294142531 hasPrimaryLocation W42941425311 @default.
- W4294142531 hasRelatedWork W1522196789 @default.
- W4294142531 hasRelatedWork W3029198973 @default.
- W4294142531 hasRelatedWork W3133861977 @default.
- W4294142531 hasRelatedWork W3167935049 @default.
- W4294142531 hasRelatedWork W3193565141 @default.
- W4294142531 hasRelatedWork W4226493464 @default.
- W4294142531 hasRelatedWork W4293226380 @default.
- W4294142531 hasRelatedWork W4312417841 @default.
- W4294142531 hasRelatedWork W4315434538 @default.
- W4294142531 hasRelatedWork W4375867731 @default.
- W4294142531 hasVolume "88" @default.
- W4294142531 isParatext "false" @default.
- W4294142531 isRetracted "false" @default.
- W4294142531 workType "article" @default.