High-resolution remote sensing image change detection based on feature subspace decoupling and iterative residual refinement
Image Processing|更新时间:2026-04-14
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High-resolution remote sensing image change detection based on feature subspace decoupling and iterative residual refinement
Chinese Journal of Liquid Crystals and DisplaysVol. 41, Issue 3, Pages: 402-414(2026)
作者机构:
1.中国科学院 西安光学精密机械研究所, 陕西 西安 710119
2.中国科学院大学, 北京 101408
3.西安工业大学 计算机科学与工程学院, 陕西 西安 710021
4.生态环境部卫星环境应用中心, 北京 100006
作者简介:
基金信息:
National Key Research and Development Program of China(2022YFF1300201);General Special Scientific Research Program Project of the Shaanxi Provincial Department of Education(24JK0481);Natural Science Foundation of Shaanxi Province(2025JC-YBQN-366;2025JC-YBMS-256)
LI Hanzhi, LI Haiwei, GUO Qi, et al. High-resolution remote sensing image change detection based on feature subspace decoupling and iterative residual refinement[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(3): 402-414.
DOI:
LI Hanzhi, LI Haiwei, GUO Qi, et al. High-resolution remote sensing image change detection based on feature subspace decoupling and iterative residual refinement[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(3): 402-414. DOI: 10.37188/CJLCD.2026-0003. CSTR: 32172.14.CJLCD.2026-0003.
High-resolution remote sensing image change detection based on feature subspace decoupling and iterative residual refinement