Fundamentals of digital image processing
Fundamentals of digital image processing
Statistical modeling and analysisof high-resolution Synthetic Aperture Radar images
Statistics and Computing
A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise
IEEE Transactions on Pattern Analysis and Machine Intelligence
Single-Mixture Audio Source Separation by Subspace Decomposition of Hilbert Spectrum
IEEE Transactions on Audio, Speech, and Language Processing
De-noising by soft-thresholding
IEEE Transactions on Information Theory
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The aliasing of the speckle noise and echo information of SAR blurs the structure character of SAR image. It is difficult to enhance structure character of SAR images. Aiming at this difficulty, we propose an amalgamation frame based on EMD and PCA algorithm. The frame can effectively filter the speckle noise and enhance the structure character which finally can be seen by people's eyes. Using the proposed method, the speckle noise of SAR image in different scale is filtered. At last, we obtain the new denoised SAR image. The experiment result indicates that speckle noise of our result is substantially decreased and the structure character and texture of the result is clearer. And our result eyes can distinguish the character of SAR image.