Matches in SemOpenAlex for { <https://semopenalex.org/work/W2596019225> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2596019225 abstract "A major research area in remote sensing is the problem of multi-sensor data fusion. Especially the combination of images acquired by different sensor types, e.g. active and passive, is a difficult task. Over the last years deep learning methods have proven their high potential for remote sensing applications. In this paper we will show how a deep learning method can be valuable for the problem of optical and SAR image matching. We investigate the possible of conditional generative adversarial networks (cGANs) for the generation of artificial templates. Contrary to common template generation approaches for image matching, the generation of templates using cGANs doesn't require the extraction of features. Our results show the possibility of realistic SAR-like template generation from optical images through cGANs and the potential of these templates for enhancing the matching of optical and SAR images by means of reliability and accuracy." @default.
- W2596019225 created "2017-03-23" @default.
- W2596019225 creator A5031487450 @default.
- W2596019225 creator A5040830361 @default.
- W2596019225 creator A5055122066 @default.
- W2596019225 creator A5069427833 @default.
- W2596019225 date "2017-01-01" @default.
- W2596019225 modified "2023-09-26" @default.
- W2596019225 title "On the Possibility of Conditional Adversarial Networks for SAR Template Generation" @default.
- W2596019225 hasPublicationYear "2017" @default.
- W2596019225 type Work @default.
- W2596019225 sameAs 2596019225 @default.
- W2596019225 citedByCount "1" @default.
- W2596019225 countsByYear W25960192252017 @default.
- W2596019225 crossrefType "journal-article" @default.
- W2596019225 hasAuthorship W2596019225A5031487450 @default.
- W2596019225 hasAuthorship W2596019225A5040830361 @default.
- W2596019225 hasAuthorship W2596019225A5055122066 @default.
- W2596019225 hasAuthorship W2596019225A5069427833 @default.
- W2596019225 hasConcept C105795698 @default.
- W2596019225 hasConcept C108583219 @default.
- W2596019225 hasConcept C115961682 @default.
- W2596019225 hasConcept C153180895 @default.
- W2596019225 hasConcept C154945302 @default.
- W2596019225 hasConcept C158096908 @default.
- W2596019225 hasConcept C165064840 @default.
- W2596019225 hasConcept C199360897 @default.
- W2596019225 hasConcept C31972630 @default.
- W2596019225 hasConcept C33923547 @default.
- W2596019225 hasConcept C37736160 @default.
- W2596019225 hasConcept C39890363 @default.
- W2596019225 hasConcept C41008148 @default.
- W2596019225 hasConcept C82714645 @default.
- W2596019225 hasConcept C87360688 @default.
- W2596019225 hasConceptScore W2596019225C105795698 @default.
- W2596019225 hasConceptScore W2596019225C108583219 @default.
- W2596019225 hasConceptScore W2596019225C115961682 @default.
- W2596019225 hasConceptScore W2596019225C153180895 @default.
- W2596019225 hasConceptScore W2596019225C154945302 @default.
- W2596019225 hasConceptScore W2596019225C158096908 @default.
- W2596019225 hasConceptScore W2596019225C165064840 @default.
- W2596019225 hasConceptScore W2596019225C199360897 @default.
- W2596019225 hasConceptScore W2596019225C31972630 @default.
- W2596019225 hasConceptScore W2596019225C33923547 @default.
- W2596019225 hasConceptScore W2596019225C37736160 @default.
- W2596019225 hasConceptScore W2596019225C39890363 @default.
- W2596019225 hasConceptScore W2596019225C41008148 @default.
- W2596019225 hasConceptScore W2596019225C82714645 @default.
- W2596019225 hasConceptScore W2596019225C87360688 @default.
- W2596019225 hasLocation W25960192251 @default.
- W2596019225 hasOpenAccess W2596019225 @default.
- W2596019225 hasPrimaryLocation W25960192251 @default.
- W2596019225 hasRelatedWork W2008191116 @default.
- W2596019225 hasRelatedWork W2512351403 @default.
- W2596019225 hasRelatedWork W2781778455 @default.
- W2596019225 hasRelatedWork W2784094047 @default.
- W2596019225 hasRelatedWork W2945398568 @default.
- W2596019225 hasRelatedWork W2972948500 @default.
- W2596019225 hasRelatedWork W2990870037 @default.
- W2596019225 hasRelatedWork W3005310851 @default.
- W2596019225 hasRelatedWork W3031907701 @default.
- W2596019225 hasRelatedWork W3047555124 @default.
- W2596019225 hasRelatedWork W3047973469 @default.
- W2596019225 hasRelatedWork W3090598983 @default.
- W2596019225 hasRelatedWork W3132325155 @default.
- W2596019225 hasRelatedWork W3141138843 @default.
- W2596019225 hasRelatedWork W3146610246 @default.
- W2596019225 hasRelatedWork W3152901247 @default.
- W2596019225 hasRelatedWork W3163345304 @default.
- W2596019225 hasRelatedWork W3167888425 @default.
- W2596019225 hasRelatedWork W3179374681 @default.
- W2596019225 hasRelatedWork W3205820621 @default.
- W2596019225 isParatext "false" @default.
- W2596019225 isRetracted "false" @default.
- W2596019225 magId "2596019225" @default.
- W2596019225 workType "article" @default.