FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313306341> ?p ?o ?g. }

• W4313306341 endingPage "551" @default.
• W4313306341 startingPage "537" @default.
• W4313306341 abstract "Accurate change detection from high-resolution satellite and aerial images is of great significance in remote sensing for precise comprehension of Land cover (LC) variations. The current methods compromise with the spatial context; hence, they fail to detect and delineate small change areas and are unable to capture the difference between features of the bi-temporal images. This paper proposes Remote Sensing Change Detection Network (RSCDNet) - a robust end-to-end deep learning architecture for pixel-wise change detection from bi-temporal high-resolution remote-sensing (HRRS) images. The proposed RSCDNet model is based on an encoder-decoder framework integrated with the Modified Self-Attention (MSA) andthe Gated Linear Atrous Spatial Pyramid Pooling (GL-ASPP) blocks; both efficient mechanisms to regulate the field-of-view while finding the most suitable trade-off between accurate localization and context assimilation. The paper documents the design and development of the proposed RSCDNet model and compares its qualitative and quantitative results with state-of-the-art HRRS change detection architectures. The above mentioned novelties in the proposed architecture resulted in an F1-score of 98%, 98%, 88%, and 75% on the four publicly available HRRS datasets namely, Staza-Tisadob, Onera, CD-LEVIR, and WHU. In addition to the improvement in the performance metrics, the strategic connections in the proposed GL-ASPP and MSA units significantly reduce the prediction time per image (PTPI) and provide robustness against perturbations. Experimental results yield that the proposed RSCDNet model outperforms the most recent change detection benchmark models on all four HRRS datasets." @default.
• W4313306341 created "2023-01-06" @default.
• W4313306341 creator A5018506540 @default.
• W4313306341 creator A5043889627 @default.
• W4313306341 creator A5058027495 @default.
• W4313306341 creator A5061730304 @default.
• W4313306341 creator A5072176820 @default.
• W4313306341 creator A5089651751 @default.
• W4313306341 date "2023-04-01" @default.
• W4313306341 modified "2023-09-27" @default.
• W4313306341 title "RSCDNet: A Robust Deep Learning Architecture for Change Detection From Bi-Temporal High Resolution Remote Sensing Images" @default.
• W4313306341 cites W1584308190 @default.
• W4313306341 cites W1965852574 @default.
• W4313306341 cites W2006383776 @default.
• W4313306341 cites W2020510048 @default.
• W4313306341 cites W2040042542 @default.
• W4313306341 cites W2069746772 @default.
• W4313306341 cites W2087120756 @default.
• W4313306341 cites W2116552673 @default.
• W4313306341 cites W2119141275 @default.
• W4313306341 cites W2127632654 @default.
• W4313306341 cites W2144552105 @default.
• W4313306341 cites W2153864221 @default.
• W4313306341 cites W2154451793 @default.
• W4313306341 cites W2154549868 @default.
• W4313306341 cites W2160544350 @default.
• W4313306341 cites W2594265094 @default.
• W4313306341 cites W2751993439 @default.
• W4313306341 cites W2891248708 @default.
• W4313306341 cites W2896092083 @default.
• W4313306341 cites W2908320224 @default.
• W4313306341 cites W2951991161 @default.
• W4313306341 cites W2969081030 @default.
• W4313306341 cites W2970302645 @default.
• W4313306341 cites W2971376372 @default.
• W4313306341 cites W2979572910 @default.
• W4313306341 cites W3012320977 @default.
• W4313306341 cites W3015038817 @default.
• W4313306341 cites W3022569728 @default.
• W4313306341 cites W3027225766 @default.
• W4313306341 cites W3037640242 @default.
• W4313306341 cites W3096454687 @default.
• W4313306341 cites W3104825134 @default.
• W4313306341 cites W3105577662 @default.
• W4313306341 cites W3118142692 @default.
• W4313306341 cites W3157519352 @default.
• W4313306341 cites W4205687832 @default.
• W4313306341 cites W4220936840 @default.
• W4313306341 cites W4285182062 @default.
• W4313306341 doi "https://doi.org/10.1109/tetci.2022.3230941" @default.
• W4313306341 hasPublicationYear "2023" @default.
• W4313306341 type Work @default.
• W4313306341 citedByCount "1" @default.
• W4313306341 countsByYear W43133063412023 @default.
• W4313306341 crossrefType "journal-article" @default.
• W4313306341 hasAuthorship W4313306341A5018506540 @default.
• W4313306341 hasAuthorship W4313306341A5043889627 @default.
• W4313306341 hasAuthorship W4313306341A5058027495 @default.
• W4313306341 hasAuthorship W4313306341A5061730304 @default.
• W4313306341 hasAuthorship W4313306341A5072176820 @default.
• W4313306341 hasAuthorship W4313306341A5089651751 @default.
• W4313306341 hasConcept C104317684 @default.
• W4313306341 hasConcept C108583219 @default.
• W4313306341 hasConcept C142575187 @default.
• W4313306341 hasConcept C153180895 @default.
• W4313306341 hasConcept C154945302 @default.
• W4313306341 hasConcept C160633673 @default.
• W4313306341 hasConcept C166957645 @default.
• W4313306341 hasConcept C185592680 @default.
• W4313306341 hasConcept C185798385 @default.
• W4313306341 hasConcept C203595873 @default.
• W4313306341 hasConcept C205372480 @default.
• W4313306341 hasConcept C205649164 @default.
• W4313306341 hasConcept C2524010 @default.
• W4313306341 hasConcept C2779343474 @default.
• W4313306341 hasConcept C33923547 @default.
• W4313306341 hasConcept C41008148 @default.
• W4313306341 hasConcept C55493867 @default.
• W4313306341 hasConcept C58640448 @default.
• W4313306341 hasConcept C62649853 @default.
• W4313306341 hasConcept C63479239 @default.
• W4313306341 hasConceptScore W4313306341C104317684 @default.
• W4313306341 hasConceptScore W4313306341C108583219 @default.
• W4313306341 hasConceptScore W4313306341C142575187 @default.
• W4313306341 hasConceptScore W4313306341C153180895 @default.
• W4313306341 hasConceptScore W4313306341C154945302 @default.
• W4313306341 hasConceptScore W4313306341C160633673 @default.
• W4313306341 hasConceptScore W4313306341C166957645 @default.
• W4313306341 hasConceptScore W4313306341C185592680 @default.
• W4313306341 hasConceptScore W4313306341C185798385 @default.
• W4313306341 hasConceptScore W4313306341C203595873 @default.
• W4313306341 hasConceptScore W4313306341C205372480 @default.
• W4313306341 hasConceptScore W4313306341C205649164 @default.
• W4313306341 hasConceptScore W4313306341C2524010 @default.
• W4313306341 hasConceptScore W4313306341C2779343474 @default.
• W4313306341 hasConceptScore W4313306341C33923547 @default.
• W4313306341 hasConceptScore W4313306341C41008148 @default.
• W4313306341 hasConceptScore W4313306341C55493867 @default.

• next