9 October 2006 A segment-based speckle filter for polarimetric SAR
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Synthetic aperture radar (SAR) is an advanced remote sensor with abilities of all-weather, day-and-night observation and can be represented as various polarimetric aspect. Due to the coherent imaging of SAR, it is always with the drawback of speckle. In order to further use SAR image for applications, the speckle reduction is an essential task. Lee Filter is a very famous filter to reduce speckle in a SAR image. The particular characteristic of Lee Filter is that it employs eight different direction non-square windows to preserve the edge sharpness of SAR image. However, it is still insufficient to preserve the edge sharpness in the area whose land-cover has irregular shape. This study is trying to combine the K-means clustering, Hopkins index to construct filtering window that has more exact shape to approach the land-cover for better preserving the edge sharpness after speckle reducing. The pilot results show that the filtering scheme mentioned above can perform better edge-sharpness preserving. But the filter efficiency and the parameters decision need further study to find out the optimal setting.
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Chia-Tang Chen, Chia-Tang Chen, Kun-Shan Chen, Kun-Shan Chen, } "A segment-based speckle filter for polarimetric SAR", Proc. SPIE 6363, SAR Image Analysis, Modeling, and Techniques VIII, 63630B (9 October 2006); doi: 10.1117/12.688170; https://doi.org/10.1117/12.688170

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