Research on Speckle Noise Suppression Methods and Applications in SAR Images

This paper focuses on researching and describing an effective speckle noise suppression method for SAR images. Speckle noise in SAR imagery arises from multiple scattering and noise interference during radar signal reception, significantly degrading image quality and usability. The proposed algorithm combines wavelet transform with adaptive median filtering to effectively eliminate speckle noise while preserving edge features and detailed information in the image. From an implementation perspective, the wavelet transform component employs multi-resolution analysis to separate noise from signal components across different frequency bands, while the adaptive median filter dynamically adjusts its window size based on local statistical characteristics to better preserve image structures. The algorithm's practical application to real SAR imagery demonstrates its superior performance in speckle noise suppression and operational practicality. Overall, this research provides a novel solution for SAR image processing with promising application prospects in various remote sensing and image analysis domains. The methodology offers improved computational efficiency through optimized parameter selection and thresholding techniques in the wavelet domain.