Hyperspectral remote sensing image classification based on domain-level complementarity of spatial-spectral component.
- DOI
- 10.1016/j.neunet.2026.108610
- Published
- 2026 Jun
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.108610,
title = {Hyperspectral remote sensing image classification based on domain-level complementarity of spatial-spectral component.},
author = {Chen H and Li Y and Zheng B and Chen T},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.108610},
url = {https://doi.org/10.1016/j.neunet.2026.108610}
}RIS
TY - JOUR TI - Hyperspectral remote sensing image classification based on domain-level complementarity of spatial-spectral component. AU - Chen H AU - Li Y AU - Zheng B AU - Chen T PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.108610 UR - https://doi.org/10.1016/j.neunet.2026.108610 ER -
APA
H, C., Y, L., B, Z., & T, C. (2026). Hyperspectral remote sensing image classification based on domain-level complementarity of spatial-spectral component.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.108610
Source records
- pubmed · retrieved 2026-09-26T05:29:07.239Z