A neural network approach to geographic image analysis

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dc.contributor.authorTchimev, Plamen
dc.contributor.authorMoritani, N.
dc.contributor.authorGeorgiev, George
dc.contributor.authorValova, Iren
dc.date.accessioned2026-02-06T17:54:36Z
dc.date.issued2000
dc.departmentDoğu Akdeniz Üniversitesi
dc.description4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000 -- 2000-04-02 through 2000-04-04 -- Austin -- 116495
dc.description.abstractWe have developed a method based on the precise pixel-to-pixel matching between two images. This is done by automatic generation of displacement vectors, carrying the information of differences between the two images. For generating a layer of vectors defining the information of displacement we use a neural network with self-learning architecture. The proposed algorithm perform successful mapping, which can be quantitatively measured as 90% correct recognition as demonstrated by the results. © 2000 IEEE.
dc.description.sponsorshipCollege of Engineering at Texas Tech University; IEEE Computer Society Technical Committee on Computational Medicine; The International Society for Optical Engineering (SPIE)
dc.identifier.doi10.1109/IAI.2000.839571
dc.identifier.endpage62
dc.identifier.isbn9781467318303
dc.identifier.isbn9781424478026
dc.identifier.isbn9798350360110
dc.identifier.isbn0769515371
dc.identifier.isbn1424400694
dc.identifier.isbn9781424400690
dc.identifier.isbn9781467399197
dc.identifier.isbn0769505953
dc.identifier.isbn9781479940530
dc.identifier.isbn9781424422975
dc.identifier.issn1550-5782
dc.identifier.scopus2-s2.0-84950265588
dc.identifier.scopusqualityQ4
dc.identifier.startpage58
dc.identifier.urihttps://doi.org/10.1109/IAI.2000.839571
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7492
dc.identifier.volume2000-January
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjectAlgorithm design and analysis
dc.subjectDegradation
dc.subjectFiltering
dc.subjectImage analysis
dc.subjectImage edge detection
dc.subjectImage generation
dc.subjectNeural networks
dc.subjectPerformance evaluation
dc.subjectPixel
dc.subjectSmoothing methods
dc.titleA neural network approach to geographic image analysis
dc.typeConference Object

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