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15827188114Status:
EmployedSchool/Department:
测绘遥感信息工程全国重点实验室Date of Birth:
1976-03-21Alma Mater:
武汉大学Status:
EmployedSchool/Department:
测绘遥感信息工程全国重点实验室Date of Employment:
2004-07-01Administrative Position:
副主任Business Address:
武汉大学星湖实验大楼713Contact Information:
15827188114
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Paper Publications
Current position: Home > Scientific Research > Paper Publications
Land-cover prior diffusion probabilistic model for remote sensing image super resolution
- Time:2026-04-01
- Hits:
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DOI number:
10.1016/j.patcog.2025.112577 -
Affiliation of Author(s):
Wuhan Univ, State Key Lab Informat Engn Surveying Mapping &, Wuhan 430079, Peoples R China -
Journal:
PATTERN RECOGNITION -
Funded by:
This work is supported by National Key Research and Development Program of China (2023YFE0110400, 20 -
Key Words:
Remote sensing image super-resolution,Diffusion probabilistic model,Land cover prior,Transformer -
Abstract:
Remote sensing image super-resolution (SR) aims to enhance image spatial resolution while preserving the accuracy of texture information. Recently, denoising diffusion probabilistic models have overcome issues such as excessive smoothing and modal collapse in generative models, demonstrating excellent performance in image super-resolution tasks. However, due to the diverse and complex nature of land cover types in remote sensing images, existing methods often exhibit performance fluctuations across different scenes, leading to generated details that do not align with ground truth. To address t -
Co-author:
Liang,Wu, Mingqiang,Guo,Liu,Cheng, Zhenghao,Zhang, Jiayi,Ma, Gui,Liao, Yu,Wang, Jun, Jindou -
Indexed by:
Journal paper -
Correspondence Author:
Zhenfeng,Shao -
Document Type:
Article -
Volume:
172 -
ISSN No.:
0031-3203 -
Translation or Not:
no -
Date of Publication:
2026-04-01