A novel 3D bilateral filtering algorithm with noise level estimation assisted by multi-temporal SAR.

ABSTRACT: The bilateral filter is widely employed in the field of image denoising due to its flexibility and efficiency. It calculates the weights of neighboring pixels based on both spatial and grayscale distances from the pixel to be denoised. By incorporating the information of neighboring pixels through a weighted average, it reduces the disparity between the target pixel and its neighbors, achieving the goal of denoising. However, the extensive imaging range of SAR, coupled with low spatial resolution and the complexity of surface features, results in significant variations in the information expressed by each pixel within the kernel. Consequently, relying solely on neighboring pixel information for denoising can introduce a considerable amount of extraneous data into the target pixel, reducing

SUBMITTER: Zhang H 

PROVIDER: S-EPMC11838908 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature