Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383333628> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4383333628 abstract "This work discusses the potential applications of deep learning method supported by the increasing amount of synthetic aperture radar (SAR) data, in particular the Generative Adversarial Networks (GANs). The generative and discriminative networks of a modified version named Wasserstein GANs (WGANs) are applied in the sea ice image analysis. The generated SAR images bear a great similarity to real images from both visual inspection and data modeling perspectives. Meanwhile, the discriminative network outputs are capable of providing direct representations of sea-ice regional proportions and indication of the overall ice concentration of the test images. Such results demonstrate a useful unsupervised or semi-supervised approach in sea characteristic studies. The network training and test scenes are from real RADARSAT -2 HH polarization SAR multi-looked intensity data covering marginal sea ice areas." @default.
- W4383333628 created "2023-07-07" @default.
- W4383333628 creator A5015948096 @default.
- W4383333628 creator A5026781950 @default.
- W4383333628 creator A5055470683 @default.
- W4383333628 creator A5067508664 @default.
- W4383333628 creator A5020247805 @default.
- W4383333628 date "2023-05-26" @default.
- W4383333628 modified "2023-09-26" @default.
- W4383333628 title "Sea Ice SAR Image Generation and Analysis based on Generative Adversarial Networks" @default.
- W4383333628 cites W2116246092 @default.
- W4383333628 cites W2140253783 @default.
- W4383333628 cites W2151477007 @default.
- W4383333628 cites W2324539079 @default.
- W4383333628 cites W2614504311 @default.
- W4383333628 cites W2617853779 @default.
- W4383333628 cites W2730249686 @default.
- W4383333628 cites W2751462701 @default.
- W4383333628 cites W2754361766 @default.
- W4383333628 cites W2770553941 @default.
- W4383333628 cites W2772879006 @default.
- W4383333628 cites W2773517595 @default.
- W4383333628 cites W2785530160 @default.
- W4383333628 doi "https://doi.org/10.1109/iciba56860.2023.10165574" @default.
- W4383333628 hasPublicationYear "2023" @default.
- W4383333628 type Work @default.
- W4383333628 citedByCount "0" @default.
- W4383333628 crossrefType "proceedings-article" @default.
- W4383333628 hasAuthorship W4383333628A5015948096 @default.
- W4383333628 hasAuthorship W4383333628A5020247805 @default.
- W4383333628 hasAuthorship W4383333628A5026781950 @default.
- W4383333628 hasAuthorship W4383333628A5055470683 @default.
- W4383333628 hasAuthorship W4383333628A5067508664 @default.
- W4383333628 hasConcept C103278499 @default.
- W4383333628 hasConcept C108583219 @default.
- W4383333628 hasConcept C10929652 @default.
- W4383333628 hasConcept C115961682 @default.
- W4383333628 hasConcept C127313418 @default.
- W4383333628 hasConcept C136894858 @default.
- W4383333628 hasConcept C153180895 @default.
- W4383333628 hasConcept C154945302 @default.
- W4383333628 hasConcept C2988773926 @default.
- W4383333628 hasConcept C37736160 @default.
- W4383333628 hasConcept C39890363 @default.
- W4383333628 hasConcept C41008148 @default.
- W4383333628 hasConcept C49204034 @default.
- W4383333628 hasConcept C554190296 @default.
- W4383333628 hasConcept C62649853 @default.
- W4383333628 hasConcept C76155785 @default.
- W4383333628 hasConcept C87360688 @default.
- W4383333628 hasConcept C97931131 @default.
- W4383333628 hasConceptScore W4383333628C103278499 @default.
- W4383333628 hasConceptScore W4383333628C108583219 @default.
- W4383333628 hasConceptScore W4383333628C10929652 @default.
- W4383333628 hasConceptScore W4383333628C115961682 @default.
- W4383333628 hasConceptScore W4383333628C127313418 @default.
- W4383333628 hasConceptScore W4383333628C136894858 @default.
- W4383333628 hasConceptScore W4383333628C153180895 @default.
- W4383333628 hasConceptScore W4383333628C154945302 @default.
- W4383333628 hasConceptScore W4383333628C2988773926 @default.
- W4383333628 hasConceptScore W4383333628C37736160 @default.
- W4383333628 hasConceptScore W4383333628C39890363 @default.
- W4383333628 hasConceptScore W4383333628C41008148 @default.
- W4383333628 hasConceptScore W4383333628C49204034 @default.
- W4383333628 hasConceptScore W4383333628C554190296 @default.
- W4383333628 hasConceptScore W4383333628C62649853 @default.
- W4383333628 hasConceptScore W4383333628C76155785 @default.
- W4383333628 hasConceptScore W4383333628C87360688 @default.
- W4383333628 hasConceptScore W4383333628C97931131 @default.
- W4383333628 hasLocation W43833336281 @default.
- W4383333628 hasOpenAccess W4383333628 @default.
- W4383333628 hasPrimaryLocation W43833336281 @default.
- W4383333628 hasRelatedWork W2944432393 @default.
- W4383333628 hasRelatedWork W2982947611 @default.
- W4383333628 hasRelatedWork W3000617323 @default.
- W4383333628 hasRelatedWork W3024390022 @default.
- W4383333628 hasRelatedWork W3037184111 @default.
- W4383333628 hasRelatedWork W3156291593 @default.
- W4383333628 hasRelatedWork W3178813832 @default.
- W4383333628 hasRelatedWork W3198184493 @default.
- W4383333628 hasRelatedWork W4206598283 @default.
- W4383333628 hasRelatedWork W4362495648 @default.
- W4383333628 isParatext "false" @default.
- W4383333628 isRetracted "false" @default.
- W4383333628 workType "article" @default.