Μέθοδοι βαθιάς μάθησης για την ταξινόμηση δορυφορικών υπερφασματικών δεδομένων

Ουζουνίδης, Γεώργιος

dc.contributor.author	Ουζουνίδης, Γεώργιος	el
dc.date.accessioned	2020-11-11T06:12:58Z
dc.date.available	2020-11-11T06:12:58Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/51891
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.19589
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Deep learning	en
dc.subject	Neural network	en
dc.subject	Hyperspectral image	en
dc.subject	Image classification	en
dc.subject	Remote sensing	en
dc.title	Μέθοδοι βαθιάς μάθησης για την ταξινόμηση δορυφορικών υπερφασματικών δεδομένων	el
dc.contributor.department	Remote Sensing Laboratory	el
heal.type	bachelorThesis
heal.classification	Deep Learning	en
heal.language	el
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2020-07-27
heal.abstract	This thesis focuses on exploration, presentation, implementation and evaluation of Deep Learning HSI classification methods.More precisely,these described as recent‘state of the art methods’ are utilizedon the satelliteimages of HyRANK dataset.These methods are based on neural networks. Firstly, basic theory principles on neural networks are presented.This section consists of the operation, the components and the various types of neural networks.Then the approach of each method is introduced along with the architecture ofeach network. The layers, the signal path and all the custom modules are presentedin detail.At the end, each method is utilized on theHSI dataset.Εvery prediction and statistics table is evaluated in order to evaluate their effectiveness and analyze their behavior	en
heal.advisorName	Καράντζαλος, Κωνσταντίνος	el
heal.committeeMemberName	Αργιαλας, Δημήτρης	el
heal.committeeMemberName	Καραθανάση, Βασιλεία	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Αγρονόμων και Τοπογράφων Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	132 σ.	el
heal.fullTextAvailability	false