Speckle Reduction of Polarimetric SAR Image Based on ICA-SCS Algorithm

Speckle Reduction of Polarimetric SAR Image Based on ICA-SCS Algorithm

In this paper, a new method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric SAR Images. With soft-thresholding operator on polarimetric SAR Image, this method reduces speckle effectively and preserved polarimetric properties. The exper...

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Bibliographische Detailangaben
Hauptverfasser: Hongyan Chen, Shang Ma, Yuancheng Yao
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Filtering algorithms
Image coding
Independent component analysis
Information filtering
Information filters
Polarimetric SAR
Principal component analysis
Sparse matrices
Speckle
Speckle noise
Synthetic aperture radar
Vectors
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Beschreibung
Zusammenfassung:In this paper, a new method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric SAR Images. With soft-thresholding operator on polarimetric SAR Image, this method reduces speckle effectively and preserved polarimetric properties. The experiment shows that the image edges are retained with the proposed method and the speckle is removed effectively.
DOI:10.1109/ISCSCT.2008.56