Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320515785> ?p ?o ?g. }
- W4320515785 endingPage "103206" @default.
- W4320515785 startingPage "103206" @default.
- W4320515785 abstract "Understanding surface changes requires the ability to identify changes in high resolution remote sensing images. Because current deep learning-based change detection algorithms are not able to accurately discriminate between altered and unmodified areas, which leads to the problem of edge uncertainty and small target missing in the detection process. To identify changes in high resolution remote sensing images, this research proposes an unique Attention-Guided Siamese Network (SAGNet). In this network, bitemporal images’ highly representative deep semantic features are retrieved using a fully convolutional dual-stream architecture, and the extracted deep semantic features are then used to extract semantic variation data from the Global Semantic Aggregation Module (GSAM). In the feature decoding stage, the extracted features are refined layer by layer through the Attention Fusion Module (AFM) for change map reconstruction. In addition, we propose two other auxiliary modules: Cross-scale Fusion Module (CFM) and Bilateral Feature Fusion Module (BFFM), which enable the network to remove background noise while improving the recognition accuracy of changing object boundaries and small-changing targets in the output change map. A public dataset called LEVIR-CD and a challenging dataset called BICD made up of bitemporal images from Google Earth covering various parts of China are used to experimentally test SAGNet. Finally, experimental evidence shows that our approach outperforms current cutting-edge change detection techniques." @default.
- W4320515785 created "2023-02-14" @default.
- W4320515785 creator A5007893445 @default.
- W4320515785 creator A5029614711 @default.
- W4320515785 creator A5045380530 @default.
- W4320515785 creator A5048675276 @default.
- W4320515785 creator A5058852174 @default.
- W4320515785 creator A5078200798 @default.
- W4320515785 creator A5079828880 @default.
- W4320515785 date "2023-03-01" @default.
- W4320515785 modified "2023-09-25" @default.
- W4320515785 title "Attention-guided siamese networks for change detection in high resolution remote sensing images" @default.
- W4320515785 cites W1965852574 @default.
- W4320515785 cites W1979061792 @default.
- W4320515785 cites W1995357300 @default.
- W4320515785 cites W2027350727 @default.
- W4320515785 cites W2068730661 @default.
- W4320515785 cites W2090707700 @default.
- W4320515785 cites W2106052468 @default.
- W4320515785 cites W2144552105 @default.
- W4320515785 cites W2412588858 @default.
- W4320515785 cites W2471141653 @default.
- W4320515785 cites W2789813335 @default.
- W4320515785 cites W2963881378 @default.
- W4320515785 cites W2979492955 @default.
- W4320515785 cites W3009942016 @default.
- W4320515785 cites W3027201985 @default.
- W4320515785 cites W3027225766 @default.
- W4320515785 cites W3027629341 @default.
- W4320515785 cites W3051410463 @default.
- W4320515785 cites W3104899156 @default.
- W4320515785 cites W3200526086 @default.
- W4320515785 cites W3209239396 @default.
- W4320515785 cites W4206043501 @default.
- W4320515785 cites W4206720335 @default.
- W4320515785 cites W4220958657 @default.
- W4320515785 cites W4221096150 @default.
- W4320515785 cites W4281763314 @default.
- W4320515785 cites W4311187275 @default.
- W4320515785 doi "https://doi.org/10.1016/j.jag.2023.103206" @default.
- W4320515785 hasPublicationYear "2023" @default.
- W4320515785 type Work @default.
- W4320515785 citedByCount "0" @default.
- W4320515785 crossrefType "journal-article" @default.
- W4320515785 hasAuthorship W4320515785A5007893445 @default.
- W4320515785 hasAuthorship W4320515785A5029614711 @default.
- W4320515785 hasAuthorship W4320515785A5045380530 @default.
- W4320515785 hasAuthorship W4320515785A5048675276 @default.
- W4320515785 hasAuthorship W4320515785A5058852174 @default.
- W4320515785 hasAuthorship W4320515785A5078200798 @default.
- W4320515785 hasAuthorship W4320515785A5079828880 @default.
- W4320515785 hasBestOaLocation W43205157851 @default.
- W4320515785 hasConcept C108583219 @default.
- W4320515785 hasConcept C115961682 @default.
- W4320515785 hasConcept C138885662 @default.
- W4320515785 hasConcept C153180895 @default.
- W4320515785 hasConcept C154945302 @default.
- W4320515785 hasConcept C162307627 @default.
- W4320515785 hasConcept C178790620 @default.
- W4320515785 hasConcept C184337299 @default.
- W4320515785 hasConcept C185592680 @default.
- W4320515785 hasConcept C199360897 @default.
- W4320515785 hasConcept C203595873 @default.
- W4320515785 hasConcept C205649164 @default.
- W4320515785 hasConcept C2776401178 @default.
- W4320515785 hasConcept C2778755073 @default.
- W4320515785 hasConcept C2779227376 @default.
- W4320515785 hasConcept C41008148 @default.
- W4320515785 hasConcept C41895202 @default.
- W4320515785 hasConcept C52622490 @default.
- W4320515785 hasConcept C58640448 @default.
- W4320515785 hasConcept C62649853 @default.
- W4320515785 hasConcept C81363708 @default.
- W4320515785 hasConcept C99498987 @default.
- W4320515785 hasConceptScore W4320515785C108583219 @default.
- W4320515785 hasConceptScore W4320515785C115961682 @default.
- W4320515785 hasConceptScore W4320515785C138885662 @default.
- W4320515785 hasConceptScore W4320515785C153180895 @default.
- W4320515785 hasConceptScore W4320515785C154945302 @default.
- W4320515785 hasConceptScore W4320515785C162307627 @default.
- W4320515785 hasConceptScore W4320515785C178790620 @default.
- W4320515785 hasConceptScore W4320515785C184337299 @default.
- W4320515785 hasConceptScore W4320515785C185592680 @default.
- W4320515785 hasConceptScore W4320515785C199360897 @default.
- W4320515785 hasConceptScore W4320515785C203595873 @default.
- W4320515785 hasConceptScore W4320515785C205649164 @default.
- W4320515785 hasConceptScore W4320515785C2776401178 @default.
- W4320515785 hasConceptScore W4320515785C2778755073 @default.
- W4320515785 hasConceptScore W4320515785C2779227376 @default.
- W4320515785 hasConceptScore W4320515785C41008148 @default.
- W4320515785 hasConceptScore W4320515785C41895202 @default.
- W4320515785 hasConceptScore W4320515785C52622490 @default.
- W4320515785 hasConceptScore W4320515785C58640448 @default.
- W4320515785 hasConceptScore W4320515785C62649853 @default.
- W4320515785 hasConceptScore W4320515785C81363708 @default.
- W4320515785 hasConceptScore W4320515785C99498987 @default.
- W4320515785 hasFunder F4320321001 @default.
- W4320515785 hasLocation W43205157851 @default.