Comprehensive study on the performance optimization of hyperspectral unmixing algorithms: A focus on airborne hyperspectral data.

Ahn JM, Lee H, Kim K

DOI: 10.1016/j.watres.2026.125560
Published: 2026 May 15
Container: Water research
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.watres.2026.125560,
  title = {Comprehensive study on the performance optimization of hyperspectral unmixing algorithms: A focus on airborne hyperspectral data.},
  author = {Ahn JM and Lee H and Kim K},
  year = {2026},
  journal = {Water research},
  doi = {10.1016/j.watres.2026.125560},
  url = {https://doi.org/10.1016/j.watres.2026.125560}
}

RIS

TY  - JOUR
TI  - Comprehensive study on the performance optimization of hyperspectral unmixing algorithms: A focus on airborne hyperspectral data.
AU  - Ahn JM
AU  - Lee H
AU  - Kim K
PY  - 2026
JO  - Water research
DO  - 10.1016/j.watres.2026.125560
UR  - https://doi.org/10.1016/j.watres.2026.125560
ER  -

APA

JM, A., H, L., & K, K. (2026). Comprehensive study on the performance optimization of hyperspectral unmixing algorithms: A focus on airborne hyperspectral data.. Water research. https://doi.org/10.1016/j.watres.2026.125560

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pubmed · retrieved 2026-09-26T00:15:52.596Z