Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification

Suqiang Ma, Chun Liu, Zheng Li, Wei Yang

Open source

DOI
10.3390/rs14184533
Published
09
Container
Remote Sensing
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/rs14184533,
  title = {Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification},
  author = {Suqiang Ma and Chun Liu and Zheng Li and Wei Yang},
  year = {2022},
  journal = {Remote Sensing},
  doi = {10.3390/rs14184533},
  url = {https://doi.org/10.3390/rs14184533}
}

RIS

TY  - JOUR
TI  - Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification
AU  - Suqiang Ma
AU  - Chun Liu
AU  - Zheng Li
AU  - Wei Yang
PY  - 2022
JO  - Remote Sensing
DO  - 10.3390/rs14184533
UR  - https://doi.org/10.3390/rs14184533
ER  -

APA

Ma, S., Liu, C., Li, Z., & Yang, W. (2022). Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification. Remote Sensing. https://doi.org/10.3390/rs14184533

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