BEMD based adaptive Lee filter for despeckling of SAR images

• Published in: Advances in space research 2023-04, Vol.71 (8), p.3140-3149
• Main Authors: Painam, Ranjith Kumar, Manikandan, Suchetha
• Format: Article
• Language: English
• Subjects: Adaptive filters; BEMD; Image reconstruction; Speckle noise; Synthetic aperture radar image processing
• ISSN: 0273-1177; 1879-1948
• DOI: 10.1016/j.asr.2022.12.009

•The BEMD methodology is applied to the SAR image database.•The proposed BEMD based adaptive Lee filter uses three BIMF levels.•The first BIMF level is obtained after performing BEMD decomposition on the input image is adaptively filtered.•Calculating performance metric values. Synthetic aperture radar (SAR) image processing finds application in gathering features to detect the ecological changes in earth observatory. But the speckle noise in the acquired image degrades the quality of detection. This paper explains a new method to minimize speckle noise in SAR images using bidimensional empirical mode decomposition (BEMD) based adaptive Lee filter. The main innovation of this proposed work is the use of the BEMD technique on SAR images. The decomposed levels are called bidimensional intrinsic mode functions (BIMF). By this decomposition algorithm, the high-frequency noise component gets separated in the first level of BIMF, which is further filtered by the proposed adaptive filter and reconstructed. In this paper, we are proposing a BEMD based adaptive Lee filter. The BEMD based Lee filter with different window sizes is used. The designed filter algorithm is validated by calculating the performance parameters to demonstrate its denoising performance.