Automated BRDF Measurement for Aerospace Materials and 1D-CNN-Based Estimation of Mixed-Material Composition.
- DOI
- 10.3390/s26051560
- Published
- 2026 Mar 2
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26051560,
title = {Automated BRDF Measurement for Aerospace Materials and 1D-CNN-Based Estimation of Mixed-Material Composition.},
author = {Yao D and Sun Y and He L and Wu H and Lin G and Wang J and Zhang Z},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26051560},
url = {https://doi.org/10.3390/s26051560}
}RIS
TY - JOUR TI - Automated BRDF Measurement for Aerospace Materials and 1D-CNN-Based Estimation of Mixed-Material Composition. AU - Yao D AU - Sun Y AU - He L AU - Wu H AU - Lin G AU - Wang J AU - Zhang Z PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26051560 UR - https://doi.org/10.3390/s26051560 ER -
APA
D, Y., Y, S., L, H., H, W., G, L., J, W., & Z, Z. (2026). Automated BRDF Measurement for Aerospace Materials and 1D-CNN-Based Estimation of Mixed-Material Composition.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26051560
Source records
- pubmed · retrieved 2026-09-25T06:13:09.023Z