ProtoMix: Unified Prototype Learning for Semantic Change Detection in Remote Sensing
- DOI
- 10.1109/jstars.2026.3715175
- Published
- 2026
- 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.2026.3715175,
title = {ProtoMix: Unified Prototype Learning for Semantic Change Detection in Remote Sensing},
author = {Hengzhi Chen and Kun Hu and Patrick Filippi and Wei Xiang and Thomas Francis Bishop and Zhiyong Wang},
year = {2026},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
doi = {10.1109/jstars.2026.3715175},
url = {https://doi.org/10.1109/jstars.2026.3715175}
}RIS
TY - JOUR TI - ProtoMix: Unified Prototype Learning for Semantic Change Detection in Remote Sensing AU - Hengzhi Chen AU - Kun Hu AU - Patrick Filippi AU - Wei Xiang AU - Thomas Francis Bishop AU - Zhiyong Wang PY - 2026 JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing DO - 10.1109/jstars.2026.3715175 UR - https://doi.org/10.1109/jstars.2026.3715175 ER -
APA
Chen, H., Hu, K., Filippi, P., Xiang, W., Bishop, T. F., & Wang, Z. (2026). ProtoMix: Unified Prototype Learning for Semantic Change Detection in Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/jstars.2026.3715175
Source records
- crossref · retrieved 2026-11-07T02:19:28.204Z