Matches in SemOpenAlex for { <https://semopenalex.org/work/W2899580003> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2899580003 abstract "With the phenomenon of global warming, more new shipping routes will be open and utilized by more and more ships in the polar regions, particularly in the Arctic. Synthetic aperture radar (SAR) has been widely used in ship and iceberg monitoring for maritime surveillance and safety in the Arctic waters. At present, compared with the object detection of ship or iceberg, the task of ship and iceberg distinction in SAR images is still in challenge. In this work, we propose a novel loss function called ensemble loss to train convolutional neural networks (CNNs), which is a convex function and incorporates the traits of cross entropy and hinge loss. The ensemble loss trained CNNs model for the distinction between ship and iceberg is evaluated on a real-world SAR data set, which can get a higher classification accuracy to 90.15%. Experiment on another real image data set also confirm the effectiveness of the proposed ensemble loss." @default.
- W2899580003 created "2018-11-16" @default.
- W2899580003 creator A5017861049 @default.
- W2899580003 creator A5018620403 @default.
- W2899580003 creator A5023363049 @default.
- W2899580003 creator A5061247586 @default.
- W2899580003 creator A5062825549 @default.
- W2899580003 creator A5079911106 @default.
- W2899580003 date "2018-01-01" @default.
- W2899580003 modified "2023-09-27" @default.
- W2899580003 title "Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks" @default.
- W2899580003 cites W1967432003 @default.
- W2899580003 cites W2012742472 @default.
- W2899580003 cites W2017446360 @default.
- W2899580003 cites W2411758836 @default.
- W2899580003 cites W2773121330 @default.
- W2899580003 cites W2774571070 @default.
- W2899580003 doi "https://doi.org/10.1007/978-3-030-03991-2_22" @default.
- W2899580003 hasPublicationYear "2018" @default.
- W2899580003 type Work @default.
- W2899580003 sameAs 2899580003 @default.
- W2899580003 citedByCount "0" @default.
- W2899580003 crossrefType "book-chapter" @default.
- W2899580003 hasAuthorship W2899580003A5017861049 @default.
- W2899580003 hasAuthorship W2899580003A5018620403 @default.
- W2899580003 hasAuthorship W2899580003A5023363049 @default.
- W2899580003 hasAuthorship W2899580003A5061247586 @default.
- W2899580003 hasAuthorship W2899580003A5062825549 @default.
- W2899580003 hasAuthorship W2899580003A5079911106 @default.
- W2899580003 hasConcept C111368507 @default.
- W2899580003 hasConcept C121332964 @default.
- W2899580003 hasConcept C12481700 @default.
- W2899580003 hasConcept C127313418 @default.
- W2899580003 hasConcept C136894858 @default.
- W2899580003 hasConcept C153294291 @default.
- W2899580003 hasConcept C154945302 @default.
- W2899580003 hasConcept C31972630 @default.
- W2899580003 hasConcept C41008148 @default.
- W2899580003 hasConcept C518008717 @default.
- W2899580003 hasConcept C62649853 @default.
- W2899580003 hasConcept C81363708 @default.
- W2899580003 hasConcept C87360688 @default.
- W2899580003 hasConceptScore W2899580003C111368507 @default.
- W2899580003 hasConceptScore W2899580003C121332964 @default.
- W2899580003 hasConceptScore W2899580003C12481700 @default.
- W2899580003 hasConceptScore W2899580003C127313418 @default.
- W2899580003 hasConceptScore W2899580003C136894858 @default.
- W2899580003 hasConceptScore W2899580003C153294291 @default.
- W2899580003 hasConceptScore W2899580003C154945302 @default.
- W2899580003 hasConceptScore W2899580003C31972630 @default.
- W2899580003 hasConceptScore W2899580003C41008148 @default.
- W2899580003 hasConceptScore W2899580003C518008717 @default.
- W2899580003 hasConceptScore W2899580003C62649853 @default.
- W2899580003 hasConceptScore W2899580003C81363708 @default.
- W2899580003 hasConceptScore W2899580003C87360688 @default.
- W2899580003 hasLocation W28995800031 @default.
- W2899580003 hasOpenAccess W2899580003 @default.
- W2899580003 hasPrimaryLocation W28995800031 @default.
- W2899580003 hasRelatedWork W2281058032 @default.
- W2899580003 hasRelatedWork W2432811830 @default.
- W2899580003 hasRelatedWork W2530891221 @default.
- W2899580003 hasRelatedWork W2747165560 @default.
- W2899580003 hasRelatedWork W2770553941 @default.
- W2899580003 hasRelatedWork W2784700167 @default.
- W2899580003 hasRelatedWork W2799646862 @default.
- W2899580003 hasRelatedWork W2891190453 @default.
- W2899580003 hasRelatedWork W2900704220 @default.
- W2899580003 hasRelatedWork W2913527107 @default.
- W2899580003 hasRelatedWork W2963785947 @default.
- W2899580003 hasRelatedWork W2985013446 @default.
- W2899580003 hasRelatedWork W3022664958 @default.
- W2899580003 hasRelatedWork W3044749031 @default.
- W2899580003 hasRelatedWork W3112059028 @default.
- W2899580003 hasRelatedWork W3127907330 @default.
- W2899580003 hasRelatedWork W3195769585 @default.
- W2899580003 hasRelatedWork W3199962025 @default.
- W2899580003 hasRelatedWork W3202192104 @default.
- W2899580003 hasRelatedWork W3213677878 @default.
- W2899580003 isParatext "false" @default.
- W2899580003 isRetracted "false" @default.
- W2899580003 magId "2899580003" @default.
- W2899580003 workType "book-chapter" @default.