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Peer-reviewedCC BYSensors (Basel, Switzerland)

SwinChange-DE: A Detail-Preserving Hierarchical Transformer Framework for High-Resolution Remote Sensing Image Change Detection

  • Tingwei Hu1
  • Wanwen He1
  • Jiaxin Yang1
  • Jing Wu2
  • Congqin Yi1
  • Zhenhua Wang1
  1. 1College of Information Technology, , Shanghai 201306, China
  2. 2Shandong Provincial Institute of Territorial Space Data and Remote Sensing Technology, Shandong Provincial Center for Dynamic Monitoring and Surveillance of Sea Areas, Jinan 250014, China
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Cite

BibTeXRIS
BibTeX
@article{hu2026swinchangede,
  title = {{SwinChange-DE: A Detail-Preserving Hierarchical Transformer Framework for High-Resolution Remote Sensing Image Change Detection}},
  author = {Tingwei Hu and Wanwen He and Jiaxin Yang and Jing Wu and Congqin Yi and Zhenhua Wang},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13708911},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - SwinChange-DE: A Detail-Preserving Hierarchical Transformer Framework for High-Resolution Remote Sensing Image Change Detection
AU  - Tingwei Hu
AU  - Wanwen He
AU  - Jiaxin Yang
AU  - Jing Wu
AU  - Congqin Yi
AU  - Zhenhua Wang
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13708911
SN  - 1424-8220
ER  -