The Possibility of Unsupervised and Non-Transferred Deep Learning for Remote Sensing Interpretation
We are intended to prove the feasibility of purely unsupervised and non-transferred deep learning technique, as well as its utilization in remotely sensed image processing.
Authors
- Bo Zhao (ORCID: https://orcid.org/0000-0001-7674-0791)
- Ming Zhou (ORCID: https://orcid.org/0000-0002-9226-0496)
- Xiaoyan Luo (ORCID: https://orcid.org/0000-0002-7256-4329)
- Juan Du (ORCID: https://orcid.org/0000-0002-1703-4026)
- Yuncheng Shen (ORCID: https://orcid.org/0000-0003-2645-2171)
- Heather Lang
Publication Details
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1109/mvipit65697.2024.00027
- Primary Topic
- Atmospheric and Environmental Gas Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00