FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3006945815> ?p ?o ?g. }

• W3006945815 endingPage "178" @default.
• W3006945815 startingPage "163" @default.
• W3006945815 abstract "The use of SAR data for land cover mapping provides many advantages over land cover classification achieved using optical remote sensing data. However, the classification of SAR data has always been a challenging task. In this study, the feasibility of the use of semantic segmentation based deep learning networks to classify temporal SAR data has been demonstrated. It has been achieved by applying six deep learning architectures viz. Pyramid Scene Parsing, UNET, DeepLabv3+, Path Aggregation Network, Encoder-Decoder Network and Feature Pyramid Network over temporally acquired SAR datasets for three different frequencies (triannual, quarterly and bimonthly). Outputs of all six architectures have been assessed using frequency weighted IoU. It was observed that Pyramid Scene Parsing architecture when applied on bimonthly temporal SAR provides the best results." @default.
• W3006945815 created "2020-03-06" @default.
• W3006945815 creator A5041973252 @default.
• W3006945815 creator A5050577178 @default.
• W3006945815 creator A5084880151 @default.
• W3006945815 date "2020-02-24" @default.
• W3006945815 modified "2023-09-25" @default.
• W3006945815 title "A novel approach to use semantic segmentation based deep learning networks to classify multi-temporal SAR data" @default.
• W3006945815 cites W1594031697 @default.
• W3006945815 cites W1901129140 @default.
• W3006945815 cites W1964672965 @default.
• W3006945815 cites W2011500029 @default.
• W3006945815 cites W2132083787 @default.
• W3006945815 cites W2247062920 @default.
• W3006945815 cites W2307094448 @default.
• W3006945815 cites W2395611524 @default.
• W3006945815 cites W2511814745 @default.
• W3006945815 cites W2516589589 @default.
• W3006945815 cites W2725897987 @default.
• W3006945815 cites W2767793144 @default.
• W3006945815 cites W2778588213 @default.
• W3006945815 cites W2793091350 @default.
• W3006945815 cites W2800085955 @default.
• W3006945815 cites W2811244448 @default.
• W3006945815 cites W2902190145 @default.
• W3006945815 cites W2913065079 @default.
• W3006945815 cites W2963857746 @default.
• W3006945815 cites W2963881378 @default.
• W3006945815 cites W2963921008 @default.
• W3006945815 cites W2964309882 @default.
• W3006945815 cites W3098414035 @default.
• W3006945815 doi "https://doi.org/10.1080/10106049.2019.1704072" @default.
• W3006945815 hasPublicationYear "2020" @default.
• W3006945815 type Work @default.
• W3006945815 sameAs 3006945815 @default.
• W3006945815 citedByCount "14" @default.
• W3006945815 countsByYear W30069458152020 @default.
• W3006945815 countsByYear W30069458152021 @default.
• W3006945815 countsByYear W30069458152022 @default.
• W3006945815 countsByYear W30069458152023 @default.
• W3006945815 crossrefType "journal-article" @default.
• W3006945815 hasAuthorship W3006945815A5041973252 @default.
• W3006945815 hasAuthorship W3006945815A5050577178 @default.
• W3006945815 hasAuthorship W3006945815A5084880151 @default.
• W3006945815 hasConcept C108583219 @default.
• W3006945815 hasConcept C120665830 @default.
• W3006945815 hasConcept C121332964 @default.
• W3006945815 hasConcept C127413603 @default.
• W3006945815 hasConcept C138885662 @default.
• W3006945815 hasConcept C142575187 @default.
• W3006945815 hasConcept C147176958 @default.
• W3006945815 hasConcept C153180895 @default.
• W3006945815 hasConcept C154945302 @default.
• W3006945815 hasConcept C162324750 @default.
• W3006945815 hasConcept C186644900 @default.
• W3006945815 hasConcept C187736073 @default.
• W3006945815 hasConcept C2776401178 @default.
• W3006945815 hasConcept C2780451532 @default.
• W3006945815 hasConcept C2780648208 @default.
• W3006945815 hasConcept C41008148 @default.
• W3006945815 hasConcept C41895202 @default.
• W3006945815 hasConcept C4792198 @default.
• W3006945815 hasConcept C59404180 @default.
• W3006945815 hasConcept C89600930 @default.
• W3006945815 hasConceptScore W3006945815C108583219 @default.
• W3006945815 hasConceptScore W3006945815C120665830 @default.
• W3006945815 hasConceptScore W3006945815C121332964 @default.
• W3006945815 hasConceptScore W3006945815C127413603 @default.
• W3006945815 hasConceptScore W3006945815C138885662 @default.
• W3006945815 hasConceptScore W3006945815C142575187 @default.
• W3006945815 hasConceptScore W3006945815C147176958 @default.
• W3006945815 hasConceptScore W3006945815C153180895 @default.
• W3006945815 hasConceptScore W3006945815C154945302 @default.
• W3006945815 hasConceptScore W3006945815C162324750 @default.
• W3006945815 hasConceptScore W3006945815C186644900 @default.
• W3006945815 hasConceptScore W3006945815C187736073 @default.
• W3006945815 hasConceptScore W3006945815C2776401178 @default.
• W3006945815 hasConceptScore W3006945815C2780451532 @default.
• W3006945815 hasConceptScore W3006945815C2780648208 @default.
• W3006945815 hasConceptScore W3006945815C41008148 @default.
• W3006945815 hasConceptScore W3006945815C41895202 @default.
• W3006945815 hasConceptScore W3006945815C4792198 @default.
• W3006945815 hasConceptScore W3006945815C59404180 @default.
• W3006945815 hasConceptScore W3006945815C89600930 @default.
• W3006945815 hasIssue "1" @default.
• W3006945815 hasLocation W30069458151 @default.
• W3006945815 hasOpenAccess W3006945815 @default.
• W3006945815 hasPrimaryLocation W30069458151 @default.
• W3006945815 hasRelatedWork W2532775738 @default.
• W3006945815 hasRelatedWork W2546942002 @default.
• W3006945815 hasRelatedWork W2790662084 @default.
• W3006945815 hasRelatedWork W2954384599 @default.
• W3006945815 hasRelatedWork W2960184797 @default.
• W3006945815 hasRelatedWork W2970216048 @default.
• W3006945815 hasRelatedWork W3104734424 @default.
• W3006945815 hasRelatedWork W3209779739 @default.
• W3006945815 hasRelatedWork W4226289457 @default.
• W3006945815 hasRelatedWork W4285827401 @default.

• next