Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images
- DOI
- 10.3390/rs15143607
- Published
- 2023-07-19
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs15143607,
title = {Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images},
author = {Duolin Wang and Yadang Chen and Bushra Naz and Le Sun and Baozhu Li},
year = {2023},
journal = {Remote Sensing},
doi = {10.3390/rs15143607},
url = {https://doi.org/10.3390/rs15143607}
}RIS
TY - JOUR TI - Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images AU - Duolin Wang AU - Yadang Chen AU - Bushra Naz AU - Le Sun AU - Baozhu Li PY - 2023 JO - Remote Sensing DO - 10.3390/rs15143607 UR - https://doi.org/10.3390/rs15143607 ER -
APA
Wang, D., Chen, Y., Naz, B., Sun, L., & Li, B. (2023). Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images. Remote Sensing. https://doi.org/10.3390/rs15143607
Source records
- crossref · retrieved 2026-11-05T04:27:56.006Z