Automated BRDF Measurement for Aerospace Materials and 1D-CNN-Based Estimation of Mixed-Material Composition
- DOI
- 10.3390/s26051560
- Published
- 2026-03-02
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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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 = {Depu Yao and Yulai Sun and Limin He and Heng Wu and Guanyu Lin and Jianing Wang and Zihui Zhang},
year = {2026},
journal = {Sensors},
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 - Depu Yao AU - Yulai Sun AU - Limin He AU - Heng Wu AU - Guanyu Lin AU - Jianing Wang AU - Zihui Zhang PY - 2026 JO - Sensors DO - 10.3390/s26051560 UR - https://doi.org/10.3390/s26051560 ER -
APA
Yao, D., Sun, Y., He, L., Wu, H., Lin, G., Wang, J., & Zhang, Z. (2026). Automated BRDF Measurement for Aerospace Materials and 1D-CNN-Based Estimation of Mixed-Material Composition. Sensors. https://doi.org/10.3390/s26051560
Source records
- crossref · retrieved 2026-11-10T07:08:53.433Z