Point Target Estimation Using Conditional Diffusions

Point target analysis is an important tool to analyze the quality of SAR images. Accurate estimation of the Point Target Function (PTF) in SAR images is essential for this precise analysis and interpretation. This paper presents an approach for estimating the PTF in SAR images by utilizing a Conditional Diffusion Denoising Probabilistic Model (DDPM) to synthesize the PTF. These findings highlight the potential of advanced AI-driven techniques in estimating PTF, which can be further used for measuring quality of SAR images, paving the way for more precise quality feedback and hence better product for remote sensing.