Catalogo dei prodotti della ricerca

Weproposeamethodforcontent-basedretrievingsolarmagnetograms.WeusetheSDOHelioseismicandMagneticImageroutputcollectedwithSunPyPyTorchlibraries.WecreateamathematicalrepresentationofthemagneticfieldregionsoftheSunintheformofavector.Thankstothissolutionwecancompareshortvectorsinsteadofcomparingfull-diskimages.Inordertodecreasetheretrievaltime,weusedafully-connectedau-toencoder,whichreducedthe256-elementdescriptortoa32-elementsemantichash.Theperformedexperimentsandcomparisonsprovedtheefficiencyoftheproposedapproach.Ourapproachhasthehighestprecisionvalueincomparisonwithotherstate-of-the-artmethods.Thepresentedmethodcanbeusednotonlyforsolarimageretrievalbutalsoforclassificationtasks.

Semantic Hashing for Fast Solar Magnetogram Retrieval / Grycuk, Rafał; Scherer, Rafał; Marchlewska, Alina; Napoli, Christian. - In: JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH. - ISSN 2083-2567. - 12:4(2022), pp. 299-306. [10.2478/jaiscr-2022-0020]

Semantic Hashing for Fast Solar Magnetogram Retrieval

Christian Napoli
Ultimo
Supervision
2022

Abstract

Weproposeamethodforcontent-basedretrievingsolarmagnetograms.WeusetheSDOHelioseismicandMagneticImageroutputcollectedwithSunPyPyTorchlibraries.WecreateamathematicalrepresentationofthemagneticfieldregionsoftheSunintheformofavector.Thankstothissolutionwecancompareshortvectorsinsteadofcomparingfull-diskimages.Inordertodecreasetheretrievaltime,weusedafully-connectedau-toencoder,whichreducedthe256-elementdescriptortoa32-elementsemantichash.Theperformedexperimentsandcomparisonsprovedtheefficiencyoftheproposedapproach.Ourapproachhasthehighestprecisionvalueincomparisonwithotherstate-of-the-artmethods.Thepresentedmethodcanbeusednotonlyforsolarimageretrievalbutalsoforclassificationtasks.
2022
Content-Based Image Retrieval; Image Descriptor; Solar Analysis
01 Pubblicazione su rivista::01a Articolo in rivista
Semantic Hashing for Fast Solar Magnetogram Retrieval / Grycuk, Rafał; Scherer, Rafał; Marchlewska, Alina; Napoli, Christian. - In: JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH. - ISSN 2083-2567. - 12:4(2022), pp. 299-306. [10.2478/jaiscr-2022-0020]
01a Articolo in rivista
File allegati a questo prodotto
File Dimensione Formato  
Grycuk_Semantic-Hashing_2022.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.44 MB
Formato Adobe PDF
1.44 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1664527
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 4
social impact