Multi-Spectral Band Analysis for Satellite-to-Aerial Image Registration: A Comparative Study of Deep Learning and Traditional Feature-Matching Methods

Dongyeob Han, Jeong Heon Song, Sun-Gu Lee

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DOI: 10.3390/s26134165
Published: 2026-07-02
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26134165,
  title = {Multi-Spectral Band Analysis for Satellite-to-Aerial Image Registration: A Comparative Study of Deep Learning and Traditional Feature-Matching Methods},
  author = {Dongyeob Han and Jeong Heon Song and Sun-Gu Lee},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26134165},
  url = {https://doi.org/10.3390/s26134165}
}

RIS

TY  - JOUR
TI  - Multi-Spectral Band Analysis for Satellite-to-Aerial Image Registration: A Comparative Study of Deep Learning and Traditional Feature-Matching Methods
AU  - Dongyeob Han
AU  - Jeong Heon Song
AU  - Sun-Gu Lee
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26134165
UR  - https://doi.org/10.3390/s26134165
ER  -

APA

Han, D., Song, J. H., & Lee, S. (2026). Multi-Spectral Band Analysis for Satellite-to-Aerial Image Registration: A Comparative Study of Deep Learning and Traditional Feature-Matching Methods. Sensors. https://doi.org/10.3390/s26134165

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crossref · retrieved 2026-11-10T07:35:35.133Z