FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964579991> ?p ?o ?g. }

• W2964579991 endingPage "101374" @default.
• W2964579991 startingPage "101374" @default.
• W2964579991 abstract "Abstract The significance of urban function recognition has stimulated the need for multi-source geospatial data fusion, especially the fusion between remote sensing images and spatiotemporal big data. In previous studies, the natural correspondence across multi-source geospatial data has often been ignored in the description of one object, which would influence the performance of data fusion. Therefore, this study introduces the cross-correlations mechanism to achieve the natural correspondence by taking remote sensing images, point of interest (POI), and real-time social media users as an example. It proposes a new cross-correlations based functional urban land use (CC-FLU) model to infer urban functions. The presented model extracts physical and human semantic features from multi-source geospatial data, then maps them to their common subspaces to obtain their cross-correlations respectively. These semantic features and their cross-correlations are integrated together to classify urban functions. An experiment in Shenzhen, China was implemented to evaluate the performance of the presented model at a fine scale. The results show that the proposed CC-FLU model achieved a better performance than previous methods, yielding OA and Kappa values of 0.851 and 0.812, respectively. The results of the presented approach outperform those of methods using one single source geospatial data. The results demonstrate that the skilled information of each type of geospatial data is fully melted into the data fusion model, and simultaneously achieves the natural correspondence across multi-source geospatial data. Moreover, this study resolves the possible disadvantages of models using one single source data and fusion methods by sequentially concatenating multi-source features. The results will benefit urban planners and urban policy-makers." @default.
• W2964579991 created "2019-08-13" @default.
• W2964579991 creator A5022293237 @default.
• W2964579991 creator A5027930243 @default.
• W2964579991 creator A5033672865 @default.
• W2964579991 creator A5035618975 @default.
• W2964579991 creator A5050356149 @default.
• W2964579991 creator A5085688428 @default.
• W2964579991 date "2019-11-01" @default.
• W2964579991 modified "2023-10-16" @default.
• W2964579991 title "Functional urban land use recognition integrating multi-source geospatial data and cross-correlations" @default.
• W2964579991 cites W1157380099 @default.
• W2964579991 cites W1526295910 @default.
• W2964579991 cites W1824774525 @default.
• W2964579991 cites W1892382968 @default.
• W2964579991 cites W1968206427 @default.
• W2964579991 cites W1972631516 @default.
• W2964579991 cites W1977091958 @default.
• W2964579991 cites W2019400799 @default.
• W2964579991 cites W2022604714 @default.
• W2964579991 cites W2040263621 @default.
• W2964579991 cites W2042420536 @default.
• W2964579991 cites W2043857439 @default.
• W2964579991 cites W2044551139 @default.
• W2964579991 cites W2051224630 @default.
• W2964579991 cites W2077312680 @default.
• W2964579991 cites W2093865894 @default.
• W2964579991 cites W2096725896 @default.
• W2964579991 cites W2100235303 @default.
• W2964579991 cites W2103079830 @default.
• W2964579991 cites W2112620321 @default.
• W2964579991 cites W2121915926 @default.
• W2964579991 cites W2138118304 @default.
• W2964579991 cites W2248723555 @default.
• W2964579991 cites W2340037703 @default.
• W2964579991 cites W2412588858 @default.
• W2964579991 cites W2531072308 @default.
• W2964579991 cites W2534538876 @default.
• W2964579991 cites W2566415567 @default.
• W2964579991 cites W2575490802 @default.
• W2964579991 cites W2589711850 @default.
• W2964579991 cites W2593685093 @default.
• W2964579991 cites W2613571842 @default.
• W2964579991 cites W2619383789 @default.
• W2964579991 cites W2741078791 @default.
• W2964579991 cites W2773889238 @default.
• W2964579991 cites W2791924394 @default.
• W2964579991 cites W2799597355 @default.
• W2964579991 cites W2803025171 @default.
• W2964579991 cites W2806312459 @default.
• W2964579991 cites W2810574214 @default.
• W2964579991 cites W2893256830 @default.
• W2964579991 cites W2912777564 @default.
• W2964579991 doi "https://doi.org/10.1016/j.compenvurbsys.2019.101374" @default.
• W2964579991 hasPublicationYear "2019" @default.
• W2964579991 type Work @default.
• W2964579991 sameAs 2964579991 @default.
• W2964579991 citedByCount "72" @default.
• W2964579991 countsByYear W29645799912020 @default.
• W2964579991 countsByYear W29645799912021 @default.
• W2964579991 countsByYear W29645799912022 @default.
• W2964579991 countsByYear W29645799912023 @default.
• W2964579991 crossrefType "journal-article" @default.
• W2964579991 hasAuthorship W2964579991A5022293237 @default.
• W2964579991 hasAuthorship W2964579991A5027930243 @default.
• W2964579991 hasAuthorship W2964579991A5033672865 @default.
• W2964579991 hasAuthorship W2964579991A5035618975 @default.
• W2964579991 hasAuthorship W2964579991A5050356149 @default.
• W2964579991 hasAuthorship W2964579991A5085688428 @default.
• W2964579991 hasConcept C127413603 @default.
• W2964579991 hasConcept C147176958 @default.
• W2964579991 hasConcept C205649164 @default.
• W2964579991 hasConcept C2522767166 @default.
• W2964579991 hasConcept C2983685735 @default.
• W2964579991 hasConcept C39432304 @default.
• W2964579991 hasConcept C41008148 @default.
• W2964579991 hasConcept C4792198 @default.
• W2964579991 hasConcept C58640448 @default.
• W2964579991 hasConcept C62649853 @default.
• W2964579991 hasConcept C77088390 @default.
• W2964579991 hasConcept C9770341 @default.
• W2964579991 hasConceptScore W2964579991C127413603 @default.
• W2964579991 hasConceptScore W2964579991C147176958 @default.
• W2964579991 hasConceptScore W2964579991C205649164 @default.
• W2964579991 hasConceptScore W2964579991C2522767166 @default.
• W2964579991 hasConceptScore W2964579991C2983685735 @default.
• W2964579991 hasConceptScore W2964579991C39432304 @default.
• W2964579991 hasConceptScore W2964579991C41008148 @default.
• W2964579991 hasConceptScore W2964579991C4792198 @default.
• W2964579991 hasConceptScore W2964579991C58640448 @default.
• W2964579991 hasConceptScore W2964579991C62649853 @default.
• W2964579991 hasConceptScore W2964579991C77088390 @default.
• W2964579991 hasConceptScore W2964579991C9770341 @default.
• W2964579991 hasFunder F4320321001 @default.
• W2964579991 hasLocation W29645799911 @default.
• W2964579991 hasOpenAccess W2964579991 @default.
• W2964579991 hasPrimaryLocation W29645799911 @default.
• W2964579991 hasRelatedWork W117302946 @default.

• next