Hyperspectral image cross-domain few-shot classification based on disentangled confidence prototype network

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Hyperspectral image cross-domain few-shot classification based on disentangled confidence prototype network
“In response to the difficulty in obtaining annotated hyperspectral image HSI, the research progress in the field of remote sensing intelligent interpretation was introduced. The research team established a decoupling confidence prototype network system to provide a solution for cross domain small sample classification.”
- role：First author第一作者
- Affiliation：
  College of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
- Email：wangxuesongcumt@163.com
- Introduction：王雪松，研究方向为机器学习与模式识别。E-mail：wangxuesongcumt@163.com
WANG Xuesong
* ,
- Affiliation：
  College of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
JIANG Wenchao
* ,
- role：Corresponding author通信作者
- Affiliation：
  College of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
- Email：kongyicumt@163.com
- Introduction：孔毅，研究方向为遥感图像智能解译。E-mail：kongyicumt@163.com
KONG Yi
* ,
- Affiliation：
  College of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
CHENG Yuhu
*
Vol. 30, Issue 1, Pages: 156-169(2026)
DOI：10.11834/jrs.20253151
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