Multi-Spectral Band Analysis for Satellite-to-Aerial Image Registration: A Comparative Study of Deep Learning and Traditional Feature-Matching Methods.
- DOI
- 10.3390/s26134165
- Published
- 2026 Jul 2
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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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 = {Han D and Song JH and Lee SG},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
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 - Han D AU - Song JH AU - Lee SG PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26134165 UR - https://doi.org/10.3390/s26134165 ER -
APA
D, H., JH, S., & SG, L. (2026). Multi-Spectral Band Analysis for Satellite-to-Aerial Image Registration: A Comparative Study of Deep Learning and Traditional Feature-Matching Methods.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26134165
Source records
- pubmed · retrieved 2026-09-25T00:33:58.705Z