Curvelet Transform Domain-Based Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing
- DOI
- 10.1109/jstars.2020.3017023
- Published
- 2020
- Container
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jstars.2020.3017023,
title = {Curvelet Transform Domain-Based Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing},
author = {Xiang Xu and Jun Li and Shutao Li and Antonio Plaza},
year = {2020},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
doi = {10.1109/jstars.2020.3017023},
url = {https://doi.org/10.1109/jstars.2020.3017023}
}RIS
TY - JOUR TI - Curvelet Transform Domain-Based Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing AU - Xiang Xu AU - Jun Li AU - Shutao Li AU - Antonio Plaza PY - 2020 JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing DO - 10.1109/jstars.2020.3017023 UR - https://doi.org/10.1109/jstars.2020.3017023 ER -
APA
Xu, X., Li, J., Li, S., & Plaza, A. (2020). Curvelet Transform Domain-Based Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/jstars.2020.3017023
Source records
- crossref · retrieved 2026-11-09T22:16:01.170Z