NOAH: A Multi-Modal and Sensor Fusion Dataset for Generative Modeling in Remote Sensing
- DOI
- 10.3390/rs18030466
- Published
- 02
- Container
- Remote Sensing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/rs18030466,
title = {NOAH: A Multi-Modal and Sensor Fusion Dataset for Generative Modeling in Remote Sensing},
author = {Abdul Mutakabbir and Chung-Horng Lung and Marzia Zaman and Darshana Upadhyay and Kshirasagar Naik and Koreen Millard and Thambirajah Ravichandran and Richard Purcell},
year = {2026},
journal = {Remote Sensing},
doi = {10.3390/rs18030466},
url = {https://doi.org/10.3390/rs18030466}
}RIS
TY - JOUR TI - NOAH: A Multi-Modal and Sensor Fusion Dataset for Generative Modeling in Remote Sensing AU - Abdul Mutakabbir AU - Chung-Horng Lung AU - Marzia Zaman AU - Darshana Upadhyay AU - Kshirasagar Naik AU - Koreen Millard AU - Thambirajah Ravichandran AU - Richard Purcell PY - 2026 JO - Remote Sensing DO - 10.3390/rs18030466 UR - https://doi.org/10.3390/rs18030466 ER -
APA
Mutakabbir, A., Lung, C., Zaman, M., Upadhyay, D., Naik, K., Millard, K., Ravichandran, T., & Purcell, R. (2026). NOAH: A Multi-Modal and Sensor Fusion Dataset for Generative Modeling in Remote Sensing. Remote Sensing. https://doi.org/10.3390/rs18030466
Source records
- doaj · retrieved 2026-09-26T14:44:52.979Z