Matches in SemOpenAlex for { <https://semopenalex.org/work/W2425127026> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2425127026 abstract "In the last five years, deep learning has been gaining a large amount of interest in the computer vision community due to its capability to perform feature learning and classification at the same time. However, the studies using deep learning for hyperspectral imaging are still very few. In this paper, a deep convolutional neural network structure to classify hyperspectral data is proposed. The results are compared to the support vector machine and K-nearest neighbourhood algorithms and it has been shown that deep learning with the proposed architecture is much more successful in hyperspectral data classification." @default.
- W2425127026 created "2016-06-24" @default.
- W2425127026 creator A5012317612 @default.
- W2425127026 creator A5054192858 @default.
- W2425127026 date "2016-05-01" @default.
- W2425127026 modified "2023-09-23" @default.
- W2425127026 title "Hyperspectral data classification using deep convolutional neural networks" @default.
- W2425127026 cites W1948819007 @default.
- W2425127026 cites W2069231830 @default.
- W2425127026 cites W2087263574 @default.
- W2425127026 cites W2090424610 @default.
- W2425127026 cites W2112796928 @default.
- W2425127026 cites W2121338139 @default.
- W2425127026 cites W2123930659 @default.
- W2425127026 cites W2156163116 @default.
- W2425127026 cites W2161381512 @default.
- W2425127026 cites W2171171329 @default.
- W2425127026 doi "https://doi.org/10.1109/siu.2016.7496193" @default.
- W2425127026 hasPublicationYear "2016" @default.
- W2425127026 type Work @default.
- W2425127026 sameAs 2425127026 @default.
- W2425127026 citedByCount "4" @default.
- W2425127026 countsByYear W24251270262017 @default.
- W2425127026 countsByYear W24251270262018 @default.
- W2425127026 countsByYear W24251270262019 @default.
- W2425127026 countsByYear W24251270262023 @default.
- W2425127026 crossrefType "proceedings-article" @default.
- W2425127026 hasAuthorship W2425127026A5012317612 @default.
- W2425127026 hasAuthorship W2425127026A5054192858 @default.
- W2425127026 hasConcept C108583219 @default.
- W2425127026 hasConcept C119857082 @default.
- W2425127026 hasConcept C12267149 @default.
- W2425127026 hasConcept C134306372 @default.
- W2425127026 hasConcept C153180895 @default.
- W2425127026 hasConcept C154945302 @default.
- W2425127026 hasConcept C159078339 @default.
- W2425127026 hasConcept C161677786 @default.
- W2425127026 hasConcept C33923547 @default.
- W2425127026 hasConcept C41008148 @default.
- W2425127026 hasConcept C50644808 @default.
- W2425127026 hasConcept C59404180 @default.
- W2425127026 hasConcept C81363708 @default.
- W2425127026 hasConceptScore W2425127026C108583219 @default.
- W2425127026 hasConceptScore W2425127026C119857082 @default.
- W2425127026 hasConceptScore W2425127026C12267149 @default.
- W2425127026 hasConceptScore W2425127026C134306372 @default.
- W2425127026 hasConceptScore W2425127026C153180895 @default.
- W2425127026 hasConceptScore W2425127026C154945302 @default.
- W2425127026 hasConceptScore W2425127026C159078339 @default.
- W2425127026 hasConceptScore W2425127026C161677786 @default.
- W2425127026 hasConceptScore W2425127026C33923547 @default.
- W2425127026 hasConceptScore W2425127026C41008148 @default.
- W2425127026 hasConceptScore W2425127026C50644808 @default.
- W2425127026 hasConceptScore W2425127026C59404180 @default.
- W2425127026 hasConceptScore W2425127026C81363708 @default.
- W2425127026 hasLocation W24251270261 @default.
- W2425127026 hasOpenAccess W2425127026 @default.
- W2425127026 hasPrimaryLocation W24251270261 @default.
- W2425127026 hasRelatedWork W1966580635 @default.
- W2425127026 hasRelatedWork W1992102478 @default.
- W2425127026 hasRelatedWork W2004990382 @default.
- W2425127026 hasRelatedWork W2018257962 @default.
- W2425127026 hasRelatedWork W2108217834 @default.
- W2425127026 hasRelatedWork W2422064242 @default.
- W2425127026 hasRelatedWork W2496073612 @default.
- W2425127026 hasRelatedWork W2546686549 @default.
- W2425127026 hasRelatedWork W2548020065 @default.
- W2425127026 hasRelatedWork W2548340849 @default.
- W2425127026 hasRelatedWork W2548476632 @default.
- W2425127026 hasRelatedWork W2738327665 @default.
- W2425127026 hasRelatedWork W2773213684 @default.
- W2425127026 hasRelatedWork W2773368245 @default.
- W2425127026 hasRelatedWork W2784118841 @default.
- W2425127026 hasRelatedWork W2908159312 @default.
- W2425127026 hasRelatedWork W3018240691 @default.
- W2425127026 hasRelatedWork W3089446503 @default.
- W2425127026 hasRelatedWork W3206796480 @default.
- W2425127026 hasRelatedWork W2819996093 @default.
- W2425127026 isParatext "false" @default.
- W2425127026 isRetracted "false" @default.
- W2425127026 magId "2425127026" @default.
- W2425127026 workType "article" @default.