.png){kind=icon}
返回
A Constrained Diffusion Model for Deep GPR Image Enhancement
.png){kind=icon}
PRE
AI
DOI：10.1109/LGRS.2024.3433481.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Due to the electromagnetic propagation loss and environmental interference, the deep ground penetrating radar (GPR) image is poor for further interpretation. Many image enhancement methods including resolution improvement and clutter removal have been widely studied to improve the GPR image quality. In this letter, a deep GPR image enhancement method is proposed to generate clear high-resolution images by the diffusion model (DM). In order to ensure the model is equipped with abilities of resolution enhancement and declutter simultaneously, the low-frequency image inserted with clutter performances as prior knowledge input network to fit the Gaussian distribution clutter added in the forward process of the DM. The method has already been tested by simulation and field experiments. Compared with the classical methods of declutter only and improving the resolution only, our method achieves the best results by synthesizing entropy (EN), peak signal-to-clutter ratio (PSCR), and structural similarity (SSIM), which proves the effectiveness of resolution enhancement and clutter removal in the deep GPR image.
Keyword:
Clutter
Image resolution
Diffusion models
Signal resolution
Radar imaging
Deconvolution
Training
Clutter removal
diffusion model (DM)
ground penetrating radar (GPR)
resolution enhancement
期刊
IF:
16.4
论文数:
1.0W
被引数:
5.1K
机构
引用论文
A combined LDL receptor/LDL receptor adaptor protein 1 mutation as the cause for severe familial hypercholesterolemia.png)
Gene
GeneIF0
PREAI
分享收藏分享收藏
查看更多内容