Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing
- DOI
- 10.1109/jstars.2021.3074538
- Published
- 2021
- 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.2021.3074538,
title = {Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing},
author = {Qingle Guo and Junping Zhang and Chongxiao Zhong and Ye Zhang},
year = {2021},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
doi = {10.1109/jstars.2021.3074538},
url = {https://doi.org/10.1109/jstars.2021.3074538}
}RIS
TY - JOUR TI - Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing AU - Qingle Guo AU - Junping Zhang AU - Chongxiao Zhong AU - Ye Zhang PY - 2021 JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing DO - 10.1109/jstars.2021.3074538 UR - https://doi.org/10.1109/jstars.2021.3074538 ER -
APA
Guo, Q., Zhang, J., Zhong, C., & Zhang, Y. (2021). Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/jstars.2021.3074538
Source records
- crossref · retrieved 2026-09-26T08:20:04.185Z