A Novel Inversion Approach for the Kernel-Driven BRDF Model for Heterogeneous Pixels

Hanliang Li, Kai Yan, Si Gao, Xuanlong Ma, Yelu Zeng, Wenjuan Li, Gaofei Yin, Xihan Mu, Guangjian Yan, Ranga Myneni

DOI: 10.34133/remotesensing.0038
Published: 2023-04-20
Container: Canadian Journal of Remote Sensing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.34133/remotesensing.0038,
  title = {A Novel Inversion Approach for the Kernel-Driven BRDF Model for Heterogeneous Pixels},
  author = {Hanliang Li and Kai Yan and Si Gao and Xuanlong Ma and Yelu Zeng and Wenjuan Li and Gaofei Yin and Xihan Mu and Guangjian Yan and Ranga Myneni},
  year = {2023},
  journal = {Canadian Journal of Remote Sensing},
  doi = {10.34133/remotesensing.0038},
  url = {https://doi.org/10.34133/remotesensing.0038}
}

RIS

TY  - JOUR
TI  - A Novel Inversion Approach for the Kernel-Driven BRDF Model for Heterogeneous Pixels
AU  - Hanliang Li
AU  - Kai Yan
AU  - Si Gao
AU  - Xuanlong Ma
AU  - Yelu Zeng
AU  - Wenjuan Li
AU  - Gaofei Yin
AU  - Xihan Mu
AU  - Guangjian Yan
AU  - Ranga Myneni
PY  - 2023
JO  - Canadian Journal of Remote Sensing
DO  - 10.34133/remotesensing.0038
UR  - https://doi.org/10.34133/remotesensing.0038
ER  -

APA

Li, H., Yan, K., Gao, S., Ma, X., Zeng, Y., Li, W., Yin, G., Mu, X., Yan, G., & Myneni, R. (2023). A Novel Inversion Approach for the Kernel-Driven BRDF Model for Heterogeneous Pixels. Canadian Journal of Remote Sensing. https://doi.org/10.34133/remotesensing.0038

Source records

hal · retrieved 2026-09-24T23:05:38.610Z