Super-resolution of remote sensing images based on conditional prior enhancement and diffusion models
Image Processing|更新时间:2025-07-10
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Super-resolution of remote sensing images based on conditional prior enhancement and diffusion models
“In the field of remote sensing image super-resolution reconstruction, experts have proposed a new algorithm based on conditional prior enhancement and diffusion models, which effectively improves the reconstruction effect of small targets and provides a new solution for remote sensing image processing.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 7, Pages: 1067-1079(2025)
作者机构:
陕西科技大学 电子信息与人工智能学院,陕西 西安 710021
作者简介:
基金信息:
National Natural Science Foundation of China(61971272;61601271)
ZHAO Xiao, DU Guanglei. Super-resolution of remote sensing images based on conditional prior enhancement and diffusion models[J]. Chinese journal of liquid crystals and displays, 2025, 40(7): 1067-1079.
DOI:
ZHAO Xiao, DU Guanglei. Super-resolution of remote sensing images based on conditional prior enhancement and diffusion models[J]. Chinese journal of liquid crystals and displays, 2025, 40(7): 1067-1079. DOI: 10.37188/CJLCD.2025-0045. CSTR: 32172.14.CJLCD.2025-0045.
Super-resolution of remote sensing images based on conditional prior enhancement and diffusion models