Swin transformer based siamese network for thermal and optical image registration
dc.contributor.author | Elsaeidy, M. | |
dc.contributor.author | Yağmur, İsmail Can | |
dc.contributor.author | Ateş, Hasan Fehmi | |
dc.contributor.author | Güntürk, B. K. | |
dc.date.accessioned | 2023-11-07T10:50:11Z | |
dc.date.available | 2023-11-07T10:50:11Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 979-835034355-7 | |
dc.identifier.uri | http://hdl.handle.net/10679/8946 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/10224035 | |
dc.description.abstract | The process of multi-modal image registration is fundamental in remote sensing and visual navigation applications. However, existing image registration methods that are designed for single modality images do not provide satisfactory results when applied to multi-modal image registration. In this research, our objective is to achieve highly accurate alignment of both infrared and optical (visible range) images. To accomplish this goal, we explore the effectiveness of the Swin Transformer encoder and cosine loss in enhancing the keypoint-based image registration process. Simulation results show the improvement achieved in multi-modal registration by using a transformer based Siamese network. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2023 31st Signal Processing and Communications Applications Conference (SIU) | |
dc.rights | restrictedAccess | |
dc.title | Swin transformer based siamese network for thermal and optical image registration | en_US |
dc.title.alternative | Termal ve optik görüntü çakıştırması için Swin dönüştürücü tabanlı siyam aǧı | |
dc.type | Conference paper | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0002-6842-1528 & YÖK ID 17416) Ateş, Hasan Fehmi | |
dc.contributor.ozuauthor | Ateş, Hasan Fehmi | |
dc.identifier.wos | WOS:001062571000241 | |
dc.identifier.doi | 10.1109/SIU59756.2023.10224035 | en_US |
dc.subject.keywords | Keypoint | en_US |
dc.subject.keywords | Multi-modal image registration | en_US |
dc.subject.keywords | Transformer network | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85173550926 | |
dc.contributor.ozugradstudent | Yağmur, İsmail Can | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff and Graduate Student |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
Share this page